Wednesday 26th August

08:30Registration (until 17.00)
08:50-09:00Welcome
09:00-10:00Tutorial: Translating AI in Clinical Practices
Stephen Smith, University of York
10:00-10:40Best paper candidate session one
Chair: Daniele Cafolla, Swansea University
10:00-10:10
Graph Priors Improve Seizure Onset Zone Identification in a Graph Convolutional Network of StereoEEG
Baizhou Pan (Pennsylvania State University); Xiaoxiao Sun (Pennsylvania State University); Alain Zingraff Lekoubou Looti (Pennsylvania State University College of Medicine); Andrew Geronimo (Pennsylvania State University College of Medicine)
10:10-10:20
Pharmacokinetic State Space Models for Unbiased Prediction of Haemodynamic Collapse
Rithin Nagaraj (PES University); Sudiksha Chindula (PES University); Bhaskarjyoti Das (PES University)
10:20-10:30
Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
Minh-Khoi Pham (Dublin City University); Luca Cotugno (University of Bologna); Alina Sirbu (University of Bologna); Tai Tan Mai (Dublin City University); Martin Crane (Dublin City University); Marija Bezbradica (Dublin City University)
10:30-10:40
RehabilitIA: Generative AI Agents for Personalized Aphasia Therapy in Spanish
Andrea Galindo-Cera (Universidad de Los Andes); Santiago Navarrete (Universidad de Los Andes); Ruben Manrique (Universidad de Los Andes); Andrea Herrera (Universidad de Los Andes)
10:40-11:00Break (tea & coffee)
11:00-12:00Poster Spotlight Presentations (Session 1)
Chair: Daniele Cafolla, Swansea University
12:00-13:00Lunch
13:00-14:00Keynote
chair: Xianghua Xie, Swansea University
In Silico ≠ AI — and Why the Difference Matters
Alejandro Frangi, University of Manchester
14:00-14:20Best paper candidate session two
chair: Xianghua Xie, Swansea University
14:00-14:10
Auditable AI Governance for Algorithmically Mediated Self-Harm Risks: A Brazil–EU Digital Health Framework
Adriano Galindo Leal (IPT – Instituto de Pesquisas Tecnológicas); José Ricardo de Oliveira (IPT – Instituto de Pesquisas Tecnológicas); Denis Bruno Virissimo (Institute for Technological Research); Brenno Castrillon Menezes (Institute for Technological Research); Vinícius Monteiro de Paula Guirado (Universidade de São Paulo); Márcio Biczyk do Amaral (Universidade de São Paulo)
14:10-14:20
Benchmarking Foundation Models for Pulmonary Embolism Diagnosis and Prognosis to Reveal Demographic Disparities
Milan Mohan (Stanford University); Saketh Lingisetty (Stanford University); Umar Ahmad (Stanford University); Avi Kumar (Stanford University); Shankar Harikrishnan (Stanford University); Sanjana Chamarty (Stanford University); Kiran Nijjer (Stanford University); Adnan Ahmed (York University)
14:20-14:30Patient data and privacy
chair: Xianghua Xie, Swansea University
Per-Patient Shapley Explanations Fail Silently Under Federated Privacy — and Warm-Start Restores Them
Iain Swift (Munster Technological University); JingHua Ye (Munster Technological University)
14:30-14:50Break (tea & coffee)
14:50-16:30Poster Spotlight Presentations (Session 2)
Chair: Daniele Cafolla, Swansea University
16:30-16:50Ethics of AI in healthcare
chair: Hao Ni, University College London
16:30-16:40
Resampling for Clinical Predictions: Balancing Subgroup Utility, Calibration, and Explanation Stability
Paul Ellis (Cardiff University); Sylwia Polberg-Riener (Cardiff University)
16:40-16:50
A Safety Verification Framework for AI-Driven XR Clinical Simulators
David Dasa (Bournemouth University); Michele Board (Bournemouth University); Ursula Rolfe (Bournemouth University); Tom Dolby (i3 Simulations); Wen Tang (Bournemouth University)
16:50-18:00Machine & deep learning for health data
chair: Stephen Smith, University of York
16:50-17:00
Learning Cardiac Features: ECG Biometrics Across Time and Exercise
Luca Thiébaud (LIS – Aix Marseille Université); Paul Chauchat (LIS – Aix Marseille Université); Mustapha Ouladsine (LIS – Aix Marseille Université); Stéphane Delliaux (APHM – Aix Marseille Université)
17:00-17:10
ClinTrialCQA: Benchmarking Corpus Scale Question Answering Over Clinical Trial Protocols 
Daniel Goldwater (Parexel); Mohammed Terry-Jack (Parexel); Kenza Benkirane (Parexel); Martin Asenov (Parexel); Aneiss Ghodsi (Parexel)
17:10-17:20
DINO-Med: A Unified Patch-Based Adaptation Framework for Multi-Modal Medical Image Analysis Applied to Liver Fibrosis Staging 
Boya Wang (University of Nottingham); Ruizhe  Li (University of Nottingham); Chao Chen (University of Nottingham); Xin Chen (University of Nottingham)
17:20-17:30
Cross-Attention Fusion Improves Time-Series Foundation Model Performance in Short Horizon Forecasting Tasks in Data-Sparse Environments 
Matt Ploszajski (Swansea University); Xianghua Xie (Swansea University); Gary Tam (Swansea University)
17:30-17:40
Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction 
Bilel Guetarni (Université de Lille); Feryal Windal (JUNIA ; IEMN); David Pasquier (Centre Oscar Lambret ; Université de Lille); Halim Benhabiles (IMT Nord Europe)
17:40-17:50
Parameter-Efficient Multi-Task Learning for Biomedical Abbreviation Disambiguation 
Vijayalakshmi Manikandan (Athabasca University); Dunwei Wen (Athabasca University); M. Ali Akber Dewan (Athabasca University)
17:50-18:00
The Impact of Temporal Harmonization on Patient Trajectory Analysis in Multiple Sclerosis 
Niels Jodts (Ghent University – Imec); Lorin Werthen-Brabants (Ghent University – Imec); Charlotte Herzeel (Imec); Christel Meertens (Imec); Roel Wuyts (Imec); Bart Van Wijmeersch (Hasselt University – Noorderhart); Liesbet Peeters (Hasselt University); Tom Dhaene (Ghent University – Imec); Dirk Deschrijver (Ghent University – Imec)

Thursday 27th August

08:30 Registration (until 17.00)
09:00-10:00Poster Spotlight Presentations (Session 3)
chair: Daniele Cafolla, Swansea University 
10:00-10:20Predictive analytics and healthcare
chair: Daniele Cafolla, Swansea University
10:00-10:10
Make better use of LOS prediction via a subgroup discovery: estimation in an Emergency Department
Nolwen Gallier (University of Caen Normandie); Bertrand Cuissart (University of Caen Normandie); Firas Abou Kassem (MyCareProcess, France); Ricardo Olivera Da Cunha (MyCareProcess, France); Francois Rioult (University of Caen Normandie)
10:10-10:20
SynthEquity: A Privacy-Preserving Computational Framework for Identifying and Mitigating Medical Deserts Using Generative AI
Sarah Zhou (Castilleja School, USA)
10:20-10:40AI driven early diagnosis & prevention
chair: Daniele Cafolla, Swansea University
10:20-10:30 Multi-Source Knowledge Graph RAG for LLM-Based Medical Diagnosis
Anirach Mingkhwan (KMUTNB); Kongkiat Kespechara (BDMS)
10:30-10:40
NCD-CIE: A Causal-Informed Clinical Decision Support System with LLM Augmentation for Non- Communicable Disease Healthcare
Anirach Mingkhwan (KMUTNB); Kongkiat Kespechara (BDMS)
10:40-11:00 Break (tea & coffee)
11:00-12:00 Poster Spotlight Presentations (Session 4) 
chair: Daniele Cafolla, Swansea University
12:00-13:00Lunch
13:00-14:00Keynote 
chair: Stephen Smith, University of York
Generative AI in machine learning: Emerging risks for healthcare
Michael Lones, Heriot-Watt University
14:00-14:15A short walk from Blackett Laboratory to Royal Geographical Society
14:15-15:30Poster Session One (Royal Geographical Society)
15:30-15:45poster change-over (Royal Geographical Society)
15.45-17:00Poster Session Two (Royal Geographical Society)
19:30-22:00 Conference Dinner (Great Hall, King’s Building, King’s College London, WC2R 2LS)

Friday 28th August

08:30 Registration (until 12.00)
09:00-10:00 Keynote
chair: Hao Ni, University College London 
From Networks to Digital Health: An AI-Driven Integrative Approach to Healthcare
Huiru Zheng, Ulster University
10:00-10:20 AI led personalised healthcare 
chair: Hao Ni, University College London
10:00-10:10
Explicit Prompting Unlocks Evidence Transfer in LLM- Generated Medical Risk Summaries
Ashik Ahamed (Clarkson University); Garrett Ash (Yale School of Medicine); Jeanna Matthews (Clarkson University)
10:10-10:20
Transition-Based Digital Twin Modelling for Alzheimer’s Disease under Sparse Longitudinal Data
Yinyu Huang (University of Southampton); Yilin Zhang (University of Southampton); Sofia  Michopoulou (University of Southampton); Christopher  Kipps (University of Southampton); Rahman Attar (University of Southampton)
10:20-10:40 AI in Pharmacology: drug discovery & drug development 
chair: Hao Ni, University College London
10:20-10:30
MambaDDI: A Hybrid State Space Framework for Multiclass Drug–Drug Interaction Prediction
Sathya Abhijna  Marisetti (International Institute of Information Technology Hyderabad); Maitreya Maity (International Institute of Information Technology Hyderabad); Deva  Priyakumar U (International Institute of Information Technology Hyderabad)
10:30-10:40
A Controlled Study of Tokenizer Scale in SMILES-Based Foundation Models
Seongik Choi (Ghent University Global Campus); Ju Hyung Lee (Ghent University Global Campus); Utku Ozbulak (Ghent University Global Campus); Joris Vankerschaver (Ghent University Global Campus); Wesley  De Neve (Ghent University Global Campus)
10:40-11:00 Break (tea & coffee)
Poster Session Four presenters to set up posters
11:00-11:20AI driven proactive care and predictive intervention
chair: Baidaa Al-Bander, Keele University
11:00-11:10
From Accuracy to Reliability: AI-Based Respiratory Mechanics Estimation under Noise and Clinical Variability
Ashhadul Islam (KTH Royal Institute Of Technology); Fredrik Jalde (Getinge AB); Erik Fransén (KTH Royal Institute Of Technology)
11:10-11:20
Leveraging CNN-Based Cataract Detection for Remote Screening: A Mixed-Methods Feasibility Study in Ghana
Nicole Nhyira Nanka-Bruce (Ashesi University); Kwabena Bamfo (Ashesi University)
11:20-11:50Trustworthy AI 
chair:  Hassan Khan, Aston University
11:20-11:30
Evaluating Pneumonia Classification Robustness across Architectures under Variable-Quality Chest Radiographs
Wissam Harib (Aston University); Shereen Fouad (Aston University); Aniko Ekart (Aston University); Bahadar Bhatia (SANDWELL AND WEST BIRMINGHAM HOSPITALS NHS TRUST); Arvind Rajasekaran (SANDWELL AND WEST BIRMINGHAM HOSPITALS NHS TRUST)
11:30-11:40
Trustworthy On-Device Retinal Screening: A Distilled, Calibrated, and Explainable Model for Consumer Smartphones
Amarnath   K R (Amrita Vishwa Vidyapeetham); Gopal S Pillai (Amrita Vishwa Vidyapeetham); Merin Dickson (Amrita Vishwa Vidyapeetham)
11:40-11:50
Explaining Unsupervised Disease Staging in Huntington’s Disease: Insights into Model Representations and Clusters
Lubna Abu Zohair (Heriot-Watt University); Hind Zantout (Heriot-Watt University)
11:50-12:00Multimodal generative AI 
chair:  Hazrat Ali, University of Stirling
From Segmentation to Scoring: Clinically-Aligned ASPECTS Prediction on NCCT Using Slice-Gated Loss
Hiba Azeem (Aga Khan University); Tahir Syed  (Institute of Business Adminstration); Behraj  Khan (Institute of Business Adminstration); Hazrat Ali (University of Stirling); Adeeqa Aman (Aga Khan University); Shayan Anwar (Aga Khan University); Zainab Samad (Aga Khan University); Aysha  Almas (Aga Khan University)
12:00-13:00Lunch
13.00-14:00Keynote
chair: Daniele Cafolla, Swansea University 
Challenges in Rehabilitation Robotics: Examples of Innovative Solutions
Giuseppe Carbone, University of Cassino, Italy
14:00-14:20Intelligent systems & robotics
chair: Daniele Cafolla, Swansea University
14:00-14:10
Multisensor Wearable System for Human Limb Motion Monitoring: Design and Future Integration with Intelligent ALMATY-EXO Platforms
Zhetenbayev Nursultan (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev); Bizhanov  Dauren (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev);  Kurmangazy Maksat (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev); Almazuly Aibat  (Qazaq Youth Science Hub); Sergazin  Gani (Department of Science and Innovations, Mukhametzhan Tynyshbayev ALT University); Ozhikenova Aiman  (Satbayev University)
14:10-14:20
3D Printing in Wearable Rehabilitation Robotics: A Review and Development of the Modular ALMATY-EXO System
Zhetenbayev Nursultan (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev); Bizhanov  Dauren (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev);  Almazuly Aibat (Qazaq Youth Science Hub); Sergazin  Gani (Department of Science and Innovations, Mukhametzhan Tynyshbayev ALT University); Ozhikenova Aiman  (Department of Robotics and Technical Means of Automation, Satbayev University)
14:20-14:30Ambient assistive living 
chair: Daniele Cafolla, Swansea University
Emotion Recognition in Older Adults’ Speech: Toward Empathetic Conversational AI in Ambient Assisted Living
Nadeesha Naradde Vidana Pathirana (Aston University); Amal Htait (Aston University); Elizabeth Wanner (Aston University)
14:30-14:40AI innovations in autism diagnosis 
chair: Daniele Cafolla, Swansea University
Attention-Enhanced 3D CNNs for ASD Classification from Structural MRI: A Comparison with Transformer- Based Models
Sahar Alkhaibari (University of Strathclyde); Feng  Dong (University of Strathclyde)
14:40-15:00Break (with tea & coffee)
15:00-15:30Medical image analysis and processing 
chair: Xie, Swansea University
15:00-15:10
Phase-Guided Quality Regression in Apical Echocardiography via CNN-LSTM: A Systematic Backbone Benchmarking Study
Alireza Alibakhshi (University of West London); Jevgeni Jevsikov (Imperial College London); Isreal Ufumaka (University of West London); Rana Binmadi (Imperial College London); Tiffany NG (Imperial College London); Catherine C Stowell (Imperial College London); Arshian Hussain (University of West London); Abas Abdi (University of West London); Nasim Dadashi Serej (University of West London); Matthew J Shun-Shin (Imperial College London); Darrel P Francis (Imperial College London);   Charlotte H  Manisty (Barts Heart Centre and University College London); Massoud Zolgharni (University of West London)
15:10-15:20
A Dual-Domain Grayscale-Wavelet Reparameterization Network for Upper-Limb Long-Bone Abnormality Detection on X-ray Images
Zahra Moradi Pour (University of Florence); Stefano Berretti (University of Florence)
15:20-15:30
GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI
Duaa Alim (Imperial College London); Mogtaba Alim (University of Toronto); Liam Chalcroft (University College London)
15:30-15:50Healthcare workflow optimisation and automation 
chair: Xianghua Xie, Swansea University
15:30-15:40
Reducing Outpatient No-Shows with Adaptive Reminder Strategies: A Simulation Framework for Contextual Bandit Learning and Data Requirements
Ulf Lesley (Stockholm University); Tomas Nordström (Umeå University); Sindri Magnússon (Stockholm University); Adam Carstens (Ersta Hospital)
15:40-15:50
AI-Assisted Rare Metabolic Disease Screening from Targeted LC-HR-MS: A Human-in-the-Loop Pipeline with Synthetic Data Augmentation
Matt Ploszajski (Swansea University); Mohsen Ali Asgari (Swansea University); Gary Tam (Swansea University); William Griffiths (Swansea University); Yuqin Wang (Swansea University); Xianghua Xie (Swansea University)
15:50-16:00STARS: State-of-The-ARt Survey (selected) 
chair: Xianghua Xie, Swansea University
From Conversation to Clinical Documentation: A Survey of AI-Driven Pipelines and Localisation for Croatian Healthcare
Andrea Rakocija (University of Zagreb); Daniel Hofman (University of Zagreb); Uroš Todorović Mikšaj (University of Zagreb); Hrvoje Mlinarić (University of Zagreb)
16:00-16:20DoRA-PVS Challenge
chair: Xianghua Xie, Swansea University
Assessing Generalisation of Perivascular Space Segmentation Across Heterogeneous MRI Cohorts: The DoRA-PVS Challenge 2026
Sumeet Dash (Friedrich-Alexander-Universität Erlangen- Nürnberg (FAU)); Maria Valdés-Hernández (The University of Edinburgh); William Pham (Monash University); Mohamed Salah Khlif (Monash University); Amy Brodtmann (Monash University); Marc Joliot (GIN/IMN-UMR5293, CEA, CNRS, University of Bordeaux); Philippe Boutinaud (DV-Digital); Victor Nozais (DV-Digital); Sebastian Ibarra (Universitat de Barcelona); Karim Sleiman (Concordia University); Aron Gimesi (Instituto Superior Técnico); Rachika E. Hamadache (University of Girona); Kaouther Mouheb (Erasmus MC); Xavier Llado (University of Girona); Yuan Cao (Friedrich-Alexander- Universität Erlangen-Nürnberg (FAU)); Roberto Duarte Coello (The University of Edinburgh); Hendrik Mattern (Otto-von- Guericke Universität); Katja Neumann (University Hospital Magdeburg); Philipp Arndt (University Hospital Magdeburg); Malte Pfister (University Hospital Magdeburg); Coretta Dongmo (University Hospital Magdeburg); Carolin Beck (University Hospital Magdeburg); Huy Trong Mai (University Hospital Magdeburg); Erelle Fuchs (Otto-von-Guericke Universität); Serena Tang (University of California San Francisco); Duygu Tosun (University of California San Francisco); Bianca Besteher (Jena University Hospital); Tonia Rocktäschel (Centre for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Halle-Jena- Magdeburg); Philipp Reuken (Jena University Hospital); Andreas Stallmach (Jena University Hospital); Nils Opel (Charité – Universitätsmedizin Berlin); Martin Walter (Jena University Hospital); Christian Gaser (Jena University Hospital); Marc Doerner (University Hospital Zurich); Daniel Behme (University Hospital Magdeburg); Christiane Piechowiak (University Hospital Magdeburg); Yves Lading (University Hospital Magdeburg); Patrick Mueller (University Hospital Magdeburg); Rüdiger Braun-Dullaeus (University Hospital Magdeburg); Sven G. Meuth (Universitätsklinikum Münster); Merel M. van der Thiel (Maastricht University Medical Center); Jacobus F. A. Jansen (Maastricht University Medical Center); Eva M. van Heese (Amsterdam University Medical Centre); Max A. Laansma (Amsterdam University Medical Centre); Joanna Wardlaw (The University of Edinburgh); Stefanie Schreiber (University Hospital Magdeburg); Jose Bernal (Friedrich- Alexander-Universität Erlangen-Nürnberg (FAU))*
16:20-16:30 Best Poster Prize & Closing remarks

Poster Session One

 P001Beyond Trustworthy AI:   Unstable Trust, Mental Health AI, and Proof Infrastruc-tures in Healthcare Governance
Celine Gauthier-Maxence (CNRS / PSE); Carine Milcent (CNRS / PSE)
P002A Pipeline for Evaluating Context-Aware Privacy Risk in Synthetic Healthcare Narratives
Dalya Radwan (University of West London); Julie Wall (University of West London); Massoud Zolgharni (University of West London)
P003FedPhysio-Adapter: Federated CGM Forecasting with Physiology-Aware Adapters and Conformal Deferral
Sarmad Maqsood (Vytautas Magnus University); Muhammad Abdullah Sarwar (Kaunas University of Technology); Tomas Tamosuitis (Lithuanian University of Health Sciences); Egle Belousoviene (Lithuanian University of Health Sciences); Rytis Maskeliunas (Vytautas Magnus University)
P004Causal Analysis of Parkinson’s Motor Symptoms Using Structured Smartphone Accelerometer Data
Abdulrahman Aloyayri (University of Birmingham); Max Little (University of Birmingham); Nawfal Zakar (University of Birmingham)
P005Orthogonal Array-Based Feature Selection for Traumatic Brain Injury Prognosis: A Metaheuristic Benchmarking Framework
Alireza Alibakhshi (University of West London); Arshian Hussain (University of West London); Nasim Dadashi Serej (University of West London); Isreal Ufumaka (University of West London); Hadis Ghasemi (Taras Shevchenko National University of Kyiv); Hosseinali Khalili (Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Department of Neurosurgery); Massoud Zolgharni (University of West London)
P006Uncertainty-Weighted Multi-Task Learning for Early Prediction of Functional Outcome and Length of Stay in Traumatic Brain Injury
Arshian Hussain (University of West London); Alireza Alibakhshi (University of West London); Abas Abdi (University of West London); Isreal Ufumaka (University of West London); Nasim Dadashi Serej (University of West London); Hosseinali Khalili  (Shahid Rajaee (Emtiaz) Trauma Hospital); Massoud  Zolgharni (University of West London)
P007A Generative AI Approach for Addressing Skin Tone Imbalance in Dermoscopic Datasets: A Feasibility Study
Areez Muhammed Shabu (University of Sheffield); Mohammad Samar Ansari (University of Chester); Asra Aslam (University of Sheffield)
P008Multimodal Data Fusion with Federated Multi-Head Attention for Diabetic Retinopathy Severity Classification
John Ezembu (Dalhousie University); Josteve Adekanbi (Dalhousie University); Oladapo Oyebode (Dalhousie University)
P009Standardizing Lightweight Neural Adaptation of Pathology Foundation Models for Gene Mutation Prediction
Mohsin Bilal (Prince Sattam bin Abdulaziz University)
P010MvSG-MI: Multi-View Spectral Graph Learning with Temporal Segmentation for Motor Imagery  EEG Classification
Fauzia Yasmeen (Indian Institute of Technology (BHU) Varanasi); Puneet Jangra (Indian Institute of Technology (BHU) Varanasi); Neeraj Sharma (Indian Institute of Technology (BHU) Varanasi); Shiru Sharma (Indian Institute of Technology (BHU) Varanasi)
P011Interpretable Wearable Gait Phenotyping Identifies  Elevated Prodromal Burden in Parkinson’s Disease
Dante Trabassi (Sapienza University of Rome)
P012Latent Gait Instability Reveals a Biomechanical  Transition to Falls in Parkinson’s Disease
Dante Trabassi (Sapienza University of Rome)
P013Predicting the outcome of retinal reattachment surgery with AI
Raheleh Kafieh (Durham University ); levente vasas (Durham university); Nik Tzoumas (Newcastle University); David H Steel (Newcastle University)
P014OCT-Derived Retinal Biomarkers for Systemic Disease Monitoring in Alport Syndrome: A Machine Learning Study
Raheleh Kafieh (Durham University ); Charlie Thompson (Durham University); Nik  Tzoumas (Newcastle University);  David H  Steel (Newcastle University)
P015Trained on the Neurotypical, Deployed on the Neurodivergent: NLP, Mental Health, and the Behavioural Validity Gap
Dr Hina Tahseen (Somerset NHS Foundation Trust); Syed Ghazi Abbas (Independent Researcher)
P016Gender-Differentiated Medical Advice in a RAG-Based Healthcare AI Assistant: Findings from a Finnish System 
Enni Sanmark (HUS and University of Helsinki)
P017Real-time Body Core Temperature Prediction in Military Training: An Arm-Worn Sensor Approach
XIAOHAN ZHANG (Heat Resilience & Performance Centre); Alexandria  Marie Remus (Heat Resilience & Performance Centre); WEI LIN (Heat Resilience & Performance Centre); Wee Hon  Ang (Heat Resilience & Performance Centre); Lydia Yu Li  Law (Heat Resilience & Performance Centre); Jason Kai Wei  Lee (Heat Resilience & Performance Centre)
P018A stability-driven clustering framework for clinical data: application of paediatric Hypertrophic Cardiomyopathy identifies patient groups with distinct outcomes
Cameron Taylor (UCL)
P019Weighted Mean SHapley Additive exPlanations (WMSHAP)
E. F. Haghish (Uiversity of Bergen)
P020Generative AI-Tailored Shared Reading for Pediatric Ophthalmic Education
Hsin-Ming Liu (Mackay Memorial Hospital)*; Ann Yi-Chiun Chuang (Mackay Memorial Hospital)
P021Explainable Graph-Based Modelling of Drug Cardiotoxicity from Metabolic Reaction Data
Davide Tugnoli (InSilicoTrials Spa); Gloria Pietropolli (University of Trieste); Simona Catozzi (InsilicoTrials Spa); Daniel  Roeshammar (InsilicoTrials Spa); Mario Torcia (InsilicoTrials Spa); Valerio Valente (InsilicoTrials Spa); Paolo Messina (InsilicoTrials Spa); Juan Carlos  Vasquez Carmona (InsilicoTrials Spa)
P022Client AI-First Disclosure in Social Work: Readiness Gaps, Ethics, and Organizational Governance
Davide Tugnoli (InSilicoTrials Spa); Gloria Pietropolli Ho Nam Cheung (The University of Hong Kong); Erin Li (The University of Hong Kong); Vivian Lou (The University of Hong Kong)
P023CogVis: A Human-Centred Interface for High- Dimensional Alzheimer’s Disease Data
Nellia Kornilova (University of Nottingham); Nellia Kornilova (University of Nottingham); Beili Shao (University of Nottingham); Robert S. Laramee (University of Nottingham)
P024Multi-modal Data Integration Improves Metastatic Risk Prediction of Stage I/II Melanomas Beyond Staging: Results from the Population-based Dutch Early-stage Mela-noma Study (D-ESMEL)
Yunlei Li (Erasmus University Medical Center); Jasper Ouwerkerk (Erasmus University Medical Center); Thamila  Kerkour (Erasmus University Medical Center); Catherine  Zhou (Erasmus University Medical Center); Antien  Mooyaart (Erasmus University Medical Center); Andrew  Stubbs (Erasmus University Medical Center); Marcel  Reinders (Delft University of Technology); Loes  Hollestein (Erasmus University Medical Center)
P025Predicting Sepsis Mortality with Expert-Guided, Calibrated Stacking
Akifa Khan (Institute of Business Administration, Karachi); Hina Farheen (Institute of Business Administration, Karachi); Ayesha Salman (Institute of Business Administration, Karachi); Naveed Rehman (Aga Khan University Hospital, Karachi); Tariq Mahmood (Institute of Business Administration, Karachi)
P026Beyond Discrimination: Calibration and Decision Curve Analysis for 12-Month Survival Prediction After Liver Transplantation — A Retrospective Evaluation
Adriano Galindo Leal (IPT – Instituto de Pesquisas Tecnológicas); Jose Ricardo  de Oliveira (IPT – Instituto de Pesquisas Tecnológicas); Rodrigo Luiz  Macacari (Hospital das Clinicas (HCFMUSP), Faculdade de Medicina, Universidade de São Paulo); Ben-Hur  Ferraz Neto (Instituto do Figado, Rede Américas do UnitedHealth Group Brasil)
P027Peak-Aware Two-Stage LSTM Forecasting of Patient Arrivals in Welsh Emergency Departments
Megan Morgan (Swansea University); Alma Rahat (Loughborough University); Gareth Jenkins (NHS); Jiaxiang Zhang (Swansea University)
P028Do More Modalities Really Help? Evidence from Controlled Multimodal Clinical Prediction
Suchit Bhai Patel (La Trobe University); Manik Gupta (BITS Pilani Hyderabad); Mei-Tai Chu (La Trobe University)
P029Controlling for Confounding Bias in Linear Prediction Models for Binary Classification
Marta Avalos-Fernandez (University of Bordeaux)
P030Ontology-Constrained Interpretable Path Exploration for Clinical Knowledge Discovery across Traditional Chinese Medicine and Modern Biomedicine
Xian Zhu (Nanjing University of Chinese Medicine); Qijuan Bian (Nanjing University of Chinese Medicine); Li Yang (Nanjing University of Chinese Medicine); Li Tang (Nanjing University of Chinese Medicine); Chao Chen (University of Nottingham)
P031Bridging the Data Gap: A Hybrid Data Augmentation Approach for Early HIV Screening via Dialogue Classification
Zhiyang Qi (The University of Tokyo); Haruto Saito (University of Electro-Communications); Ryuma Koseki (University of Electro-Communications); Mai Suzuki (Juntendo University Hospital); Sanae Kubota (Juntendo University Hospital); Toshio Naito (Juntendo University Hospital); Michimasa Inaba (University of Electro-Communications); Chiyoko Kameue (University of Electro-Communications); Haruka Matsukura (University of Electro-Communications); Maki Sakamoto (University of Electro-Communications)
P032Evaluating Counterfactual Explanations in AI-Based Decision Support for Type 2 Diabetes Prevention: A Qualitative Expert Study
Liv Ziegfeld (TNO (Netherlands Organisation for Applied Scientific Research)); Romy van Drie (TNO (Netherlands Organisation for Applied Scientific Research)); Ajaya Adhikari (TNO (Netherlands Organisation for Applied Scientific Research)); Jasper van der Waa (TNO (Netherlands Organisation for Applied Scientific Research))
P033Longitudinal Brain MRI and Cognitive Trajectories for Dementia Risk Stratification
Kongkiat Kespechara (Bangkok Hospital Phuket); Tanawat Fongsri (Bangkok Hospital Phuket); Sirisak Yaisoongnern (Bangkok Hospital Phuket); Dr.Anirach  Mingkhwan (King Mongkut’s University of Technology North Bangkok)
P034DocAgent-XAI: An Entropy-Guided Agentic RAG System for Adaptive and Explainable Clinical History-Taking
Samir Jabbar (Université Bourgogne Europe); Oualid Bougzime (Université de technologie de Belfort Montbéliard); Christophe Cruz (Université Bourgogne Europe); Maria Alice Bertolim (Université Bourgogne Europe, ESEO)
P035A Multimodal AI-driven Pipeline for Variant Prioritization in Genetic Disorders: Integrating Genomic and Phenotypic Data
Gabriella Trucco (University of Milan)
P036FastAPI-Based AI Prototype for Privacy-Preserving Keystroke Analysis in Parkinson’s Detection
Maedeh Golmohammadi (University of the West of England); Domenico Santaniello (University of Salerno); Francesco  Colace (University of Salerno); Angelo   Lorusso (Pegaso University); Muhammad Khan (University of the West of England)
P037Image-based Survival Prediction of Lung Cancer
Eleonora Blazhko (MTU); Ruairi O Reilly (MTU)
P038Condition-Specific Structural Heart Disease Screening from ECG Features: An Interpretable Binary Relevance Machine Learning Analysis
Paola Brena (Bryant Univeristy); Nafees Qamar (Bryan University)
P039Achieving Fair Skin Lesion Detection through Skin Tone Normalization and Channel Pruning
Zihan Wei (University College London); Tapabrata  Chakraborty (University College London)
P040Hybrid Sampling with Structured-Text Features for Chronic Pain Prediction in Cognitive Impairment
Do Kieu Trang Thoi (Virginia Tech); Huaiyang Zhong (Virginia Tech); Robert S. McNamara (Virginia Tech Carilion School of Medicine); Jyoti Savla (Virginia Tech)
P041Glaucoma and Age-Related Macular Degeneration Detection through Deep Learning: A Comparative Study of AI-Guided Methodologies
Mahdi Hadef (EMP); yacine said boulehia (EMP); Abdenour Amamra (EMP)
P042LightFusionNet: A Lightweight Multimodal Fusion Framework Combining Facial Dynamics and rPPG Signals for Depression Severity Detection
Muhammad Bilal (Ghulam Ishaq Khan Institute of Engineering Sciences and Technology); Muhammad Turyalai Khan (Guangdong CAS Cogniser Information Technology Co. Ltd., Guangzhou); Faisal Shafait (Guangdong CAS Cogniser Information Technology Co. Ltd.); Hassan Aqeel  Khan (Aston University)
P043Architectural Separation for Privacy-Preserving LLM- Assisted Nursing Handovers in Resource-Constrained Healthcare
SAYANTAN MANDAL (Visvesvaraya National Institute of Technology); ASHISH TIWARI (Visvesvaraya National Institute of Technology)
P044Early Real-World Clinical Evaluation of an AI-Enabled Decision Support System for Referral Triage in LMIC Primary Care
Hira Masood (National University of Sciences and Technology); Muhammad Naseer Bajwa (National University of Sciences and Technology); Saima Shafait (Fauji Foundation Hospital, Rawalpindi); Muhammad Moazam Fraz (National University of Sciences and Technology); Faisal Shafait (National University of Sciences and Technology); Hassan Aqeel Khan (Aston University)
P045Threat Overdose Syndrome: Overestimation of Model Poisoning Risks in Healthcare Federated AI
Wajahat Hussain (National University of Sciences and Technology); Abdul Wajid (National University of Sciences and Technology); Muhammad Latif Anjum (National University of Sciences and Technology); Muhammad Talha (National University of Sciences and Technology); Hassan Khan (Aston University Birmingham)
P046Rethinking Diagnostic AI for Women’s Health in Resource-Constrained Settings
Juliana Bowles (University of St Andrews); Thais Webber (Aston University); Ariane Hine (University of St Andrews); Lislaine Fracolli (University of Sao Paulo)
P047ClinAuditAI: Agentic AI for Clinical Guideline Adherence Auditing
Anas  Raza (Keele University); Matthew Cockayne (Keele University); Marco  Ortolani (Keele University); Jonathan Hill (Keele University); Baidaa Al-Bander (Keele University)
P048Intelligent Predictive Virtual Healthcare: Agentic AI and Federated Learning for Smartwatches Enabled Healthcare Monitoring in Edge Cloud Networks
Qurat-ul-ain  Mastoi (University of the west of England); Khoa Phung (University of the West of England)
P049From Dialogue to Feedback: A GMC-Aligned Generative AI Simulation Platform for Clinical Communication Training
Shereen Fouad (Aston University); Lionel Muskwe (Aston University); Wissam Harib (Aston University); Ghaniah Hassan- Smith (Aston University)
P050CONNECT-ART: An Evidence-Grounded Synthetic Digital Twin Study Integrating Microbiome Intelligence, Liquid Biopsy, AI-Assisted Colonoscopy, Precision Surgery and Molecular Surveillance Across the Colorectal Cancer Continuum
Art Hiranyakas (Bangkok-Phuket Cancer Institute)
P051Large Language Models on Hospital Electronic Health Records for Automated Stigma-Free HIV Screening  
Yunlei Li (Erasmus University Medical Center); Casper Rokx (Erasmus University Medical Center); Inigo Auza de la Mora  (Erasmus University Medical Center); Klaske Vliegenthart– Jongbloed (Erasmus University Medical Center); Lang Zhou (Erasmus University Medical Center, Vrije Universiteit Amsterdam ); Amrish Jhingoer (Erasmus University Medical Center, Vrije Universiteit Amsterdam); Yinghao  Luo (Erasmus University Medical Center, Vrije Universiteit Amsterdam); Carlijn Jordans  (Erasmus University Medical Center); Ben  Werkhoven (Erasmus University Medical Center); Tom  Seinen (Erasmus University Medical Center); Erik  van Mulligen (Erasmus University Medical Center); Piek  Vossen (Vrije Universiteit Amsterdam)
P052Using Postprandial Glucose Responses for Metabolic Phenotyping with Machine Learning and CGM 
Hengrui Zhang (University College London); Kevin C.H. Tsang (University College London); Tomoaki Sasaki (Tohoku University); Kei Takahashi (Tohoku University); Stephanie E. Baldeweg (University College London Hospitals NHS Foundation Trust / University College London); Paul Taylor (University College London); Kezhi Li (University College London)
P053Clinician Readiness for Scenario-Based Continuous Glucose Data-Driven AI Decision Support in Type 2 Diabetes Care: A Mixed-Methods Study 
Hengrui Zhang (University College London); Jiarong Li (University College London); Kevin C. H. Tsang (University College London); Steve Harris (University College London / University College London Hospitals NHS Foundation Trust); Zhijun Guo (University College London); Stephanie E. Baldeweg (University College London Hospitals NHS Foundation Trust / University College London); Kezhi Li (University College London Hospitals NHS Foundation Trust / University College London)
P054Artificial intelligence in clinical care across five Gulf countries: A targeted review of clinical impact 
Mohammad Yaqub  (Mohamed Bin Zayed University of Artificial Intelligence); Firas  Al Badarin (Cleveland clinic Abu Dhabi, Heart and Vascular Institute); Shahrukh Hashmi (Mohamed Bin Zayed University of Artificial Intelligence); Numan Saeed  (Mohamed Bin Zayed University of Artificial Intelligence); Islam  Alayary (Pfizer Inc.); Nadine Tarcha (Pfizer Inc.); Haytham  Mohamed (Pfizer); Nirsine  Sabra (Pfizer Inc.)
P055Towards Item-Level Surgical Instrument Recognition: A Multi-Modal Approach Combining Weight, Geometric, and Text-Based Cues
Yuhao Gao (Karlsruhe Institute of Technology(KIT)); Kunibert Lennerts (Karlsruhe Institute of Technology(KIT))
P056UroBot: Deployment of a Retrieval-Augmented Generation Chatbot for Urological Clinical Guideline Queries – Architecture, Operations, and One-Year Usage Analysis
Martin Hetz (German Cancer Research Center (DKFZ))
P057From Adults to CAYA: Deep Learning-based Whole- Slide Image Classification of Melanocytic Lesions Across the Age Spectrum
Lukas Heinlein (German Cancer Research Center (DKFZ))
P058Radiologist-Guided LLM to Auto-Protocol MRI Body Imaging Requisitions
Julian Oxner (Dalhousie University); Alessandro Guida (Dalhousie University); Jeff Kowalski (Nova Scotia Health); Rebecca Jessome (Nova Scotia Health); Trevor McGrath (Dalhousie University); Judy Rowe (Dalhousie University); Sharon Clarke (Dalhousie University); Chris Bowen (Dalhousie University)
P059Automating Surgical Data Collection Using Artificial Intelligence Powered Excel Macros: A Pilot Evaluation in Orthopaedic Operation Notes
Wajith Hussain Zahir Hussain (Northampton General Hospital NHS Trust ); Yash Sewpaul (University of Leicester ); Tejas Yarashi (Northampton General Hospital NHS Trust)
P060CHAPERONE-CKM: An Explainable Clinician- Supervised Artificial Intelligence Framework Integrating Digital Biomarkers for Cardiovascular– Kidney–Metabolic Population Health
Krishnaswami Vijayaraghavan (University of Arizona)
P061Toward a Benchmarking Standard for Reinforcement Learning in Intravenous Anesthesia
Mohamed El Moutaouadia El Idrissi (UTBM); Mohamed SRAITIH (Belfort Montbéliard University of Technology); Parisa GHODOUS (Claude Bernard Lyon 1 University); Guillaume BESCH (Marie and Louis Pasteur University); Romain BRONNERT (Marie and Louis Pasteur University); Amir HAJJAM EL HASSANI (Belfort Montbéliard University of Technology)
P062A Configurable and Interpretable Multi-Task Workflow for Early Risk Stratification at Emergency Department Triage
Feng Xie (UNIVERSITY OF MINNESOTA)
P063An Explainable Machine Learning Benchmarking Framework for Predicting Functional Decline and Return to Work After Critical Illness
Raví Pereira (Universidade Federal do Rio Grande do Sul); Vanessa Frighetto Bonatto (Universidade Federal do Rio Grande do Sul); Eloisa  Vargas (Universidade Federal do Rio Grande do Sul); Leonardo Leal Linhares Dias (Universidade Federal do Rio Grande do Sul); Mariana Recamonde Mendoza Guerreiro (Universidade Federal do Rio Grande do Sul); Ruy Barcelos (Universidade Federal do Rio Grande do Sul); Karina Azzolin (Universidade Federal do Rio Grande do Sul)
P064Foot Selfie: An AI-based Smartphone Platform for Early Detection of Diabetic Foot Pre-Ulcerative Features
Germán Comina (Universidad Nacional de Ingenieria, Lima, Peru); Marlon Bustos Paucar (Universidad Nacional de Ingenieria, Lima, Peru); Cadney Condor Mendez (RUniversidad Nacional de Ingenieria, Lima, Peru); Lourdes Cruzado Castro (Universidad Peruana Cayetano Heredia, Lima, Peru); Maria Lazo Porras (Universidad Peruana Cayetano Heredia, Lima, Peru); J. Jaime Miranda (University of Sydney, Camperdown, New South Wales, Australia)
P065T-PRISM Digital Twin Study: A Synthetic Evaluation of Referral Intelligence, Operational Efficiency and Sustainability Governance
Thiti Samuthrat (Bangkok Hospital Phuket)
P066CITOBOT AI: Design, Validation, and Deployment of a Deep Learning System for Cervical Cancer Screening in Resource-Limited Settings
Marcela Arrivillaga (Pontificia Universidad Javeriana); Hernán Dario Vargas-Cardona (Pontificia Universidad Javeriana); Paula C. Bermúdez (Pontificia Universidad Javeriana); Juan Pablo García-Cifuentes (Pontificia Universidad Javeriana)
P067Dual-Perspective LLM-as-Judge Evaluation for Clinical Chatbots: Rubric Bias and the Case for Persona-Based Assessment
Sanjay Khanna (The Royal Marsden Hospital NHS Foundation Trust and Roche Products Ltd), Rohan Chaudhary (Roche Products Ltd), Navya Narula (Roche Products Ltd), and Richard Lee (The Royal Marsden Hospital NHS Foundation Trust)
P068Patient-Centred Communication in Lung Cancer Screening: A Clinically Focussed Evaluation of a Fine- Tuned Open-Source Model Against a Larger Frontier System
Sanjay Khanna (The Royal Marsden Hospital NHS Foundation Trust and Roche Products Ltd), Rohan Chaudhary (Roche Products Ltd), Navya Narula (Roche Products Ltd), and Richard Lee (The Royal Marsden Hospital NHS Foundation Trust)
P069Explainable Machine Learning for Type 2 Diabetes Risk Prediction: A SHAP-Based Feature Importance Analysis
Yayang Wang (NYU)
P070Synthetic Data vs. Real-World Evidence: Leveraging Denoising Diffusion Probabilistic Models for Acute Coronary Syndrome Prediction
JIAXUAN DENG (University Malaya); James Paltridge (Imperial College London); Anusha Devi Yogiswaran (Universiti Malaysia Medical Centre); Amit Kaura (Imperial College London); Adina Abdullah (Universiti Malaya); Imran Zainal Abidin (Universiti Malaya); Pavai Sthaneshwar (Universiti Malaya); Chia Wei Phan (Universiti Malaya); Jamil Mayet (Imperial College London); Choon Hwai Yap (Imperial College London); SHIER NEE SAW (Universiti Malaya)
P071Detecting Failure Before It Happens – A Deep Learning Approach to Early Loosening in Total Knee Replacement 
Rory Ormiston (University of Southampton); Doug Dunlop  (University Hospitals Southampton NHS Foundation Trust); Vipin Asopa (South West London Elective Orthopaedic Centre); Peter Harris (Clear AI Ltd); Keith Tucker (Orthopaedic Data Evaluation Panel)
P072Time-to-Event Prediction of Adverse Outcomes in a Memory-Clinic Dementia Cohort: Added Prognostic Value of MRI Volumetrics Beyond ACE
Henry Musto (University of Cambridge)
P073Machine Learning-Based Prediction of Acute Kidney In- jury in Critically Ill Patients: A Retrospective Cohort Study from a Chilean Intensive Care Unit
Min Ha Lee (Pontificia Universidad Católica de Chile); Carlos Valle (Cyber-Physical Systems Technology Research Center); Rafael Kaempfer (Instituto Milenio en Ingeniería e Inteligencia Artificial para la Salud – iHealth); Marcelo Andia (Instituto Milenio en Ingeniería e Inteligencia Artificial para la Salud – iHealth); Magdalena Vera (Departamento de Medicina Intensiva, Pontificia Universidad Católica de Chile)
P074Mental Health Burden, Frailty, and Length of Stay After Gynecologic Surgery: An EHR-Based Analysis 
Bridget Webb (Stevenson University); Vivek Singh (Rutgers University)
P075Causal Identification via DAG Simplification in Wearable Parkinson’s Disease Studies
Nawfal Zakar (University of Birmingham); Abdulrahman Aloyayri (University of Birmingham); Max Little (University of Birmingham)
P076Human-AI Collaboration in Nursing Documentation: A Qualitative Study in Long-Term Care
Tiina Koivisto (Finnish Institute of Occupational Health); Emmi Koskinen (Finnish Institute of Occupational Health); Maria Paavolainen (Aalto University School of Business)

Poster Session Two

P077Toward Clinically Grounded Multimodal Generative AI in Healthcare
Elham Dolatabadi (York University; Vector Institute; University of Toronto); Negin Baghbanzadeh (York University)
P078Uncanny Valley Effects are Absent in Medical Dilemmas
Max Dunn (The Hong Kong Polytechnic University)
P079Interpretable, Physiology-Informed Machine Learning for Clinically Actionable IVF Dose Optimisation
Navkaran Singh (NUHS); Jennifer Sosa (NUHS); Peng Cheang Wong (NUHS)
P080ML-Enhanced Epidemiological Modeling for COVID-19
Kanza Arshad (Cinvestav)
P081How Well Can We Predict Length of Stay at Admission? Evidence from Hospital-Wide EHR Data
Alexander Groh (University of Aberdeen); Maria Carmen Romano (University of Aberdeen); Ian Stansfield (University of Aberdeen); Susan Jensen (NHS Grampian)
P082Achieving Self-Directed Integrated Cancer Aftercare (ASICA): Trustworthy AI-Enhanced Digital Intervention for Melanoma Survivors in Resource-Constrained Settings
Yining Hua (University of Aberdeen); Peter Murchie (University of Aberdeen); Dewei Yi (University of Aberdeen)
P083Do AI-enabled clinical decision support systems impact clinical care in low-resource settings? Preliminary results from a scoping review
Rishi Patel (Imperial College London)
P084Reproducibility Challenges and Next Steps for Clinical GenAI in Traditional Chinese Medicine (TCM)
Wenping Wu (Nanjing University of Chinese Medicine); Jianliang Gao (Imperial College London)
P085A Generative AI approach for reconstructing synthetic cohorts for MBMA
Abraham Vaquero Castro (LSBU/GSK); Enrico Grisan (LSBU); Monica Simeoni (GSK)
P086Artificial Intelligence for Antimicrobial Resistance Detection and Prediction in Klebsiella pneumoniae: A Systematic Review of Clinical Microbiology Applications
Raghav Aggarwal (Imperial College Healthcare NHS Trust); Nisarg Shah (Hull Royal Infirmary, Hull); Jolie Jin En Wong (School of Medicine, Cardiff University); Zaid Dajani (College of Medicine, Imam Abdulrahman Bin Faisal University)
P087Toward Resource-Efficient Malaria Diagnosis: Evaluating Lightweight vs Deep CNN Architectures
Neil  Bretana (IU International University of Applied Sciences); Jessica Sutherns (IU International University of Applied Sciences)
P088Invisible at the Edges: The Unborn and the Family in Clinical-AI Data
Florian  Stummer (Martin-Luther-University)
P089Voice-First Eldercare at Home: A Deployed Conversational Companion with Longitudinal Memory and an Edge Vocal-Biomarker Hub for Ageing-in-Place in Latin America
Juan Lacassie Viancos (VEYRA SpA and Patrona SpA)
P090Beyond AUROC: Uncertainty-Aware Dynamic ICU Deterioration Prediction with Locked eICU External Validation
Tianyi Yu (King’s College London)
P091AI-Enabled Epidemic Intelligence: Lessons Learned from a Global Disease Surveillance Platform
David Villani (The George Washington University)
P092MMCIS: A Multi-Model Clinical Information System for Chronic Disease  Self-Management
Ryan ZOUITNI (University of New Orleans); Cherie Trumbach (University of New Orleans); Yaojie Li (University of New Orleans)
P093Completeness Audit of Clinical Notes Created with an Ambient AI Scribe in the Emergency Department
Yet Hong Chia (Singhealth); Vivienne Chien Lin Ho (Sengkang General Hospital); Shao Hui Koh (Singhealth)
P094Artificial Intelligence for Automated Continuous Quantification of Left Ventricular Ejection Fraction from Standard Adult Transthoracic Echocardiography: A Systematic Review
Aniket Dembi (University Hospitals of Derby and Burton NHS Foundation Trust); Hilary Patankar (Cambridge University Hospitals NHS Foundation Trust); Simran Dhadda (University Hospitals of Derby and Burton NHS Foundation Trust); Amer Hasanovic (University Hospitals of Derby and Burton NHS Foundation Trust)
P095From Classification to Accountability: Mapping the Clinical Responsibility Gap in AI-Enabled SaMD Under EU MDR and the AI Act
Karandeep Badwal (QRA Medical)
P096The Cognitive Clinical OS: Architecting Asynchronous Agentic Reasoning for Real-Time Decision Support
Malik Saif (NaphisHealth)
P097Real-world deployment of AI-supported mammography prioritisation in a radiologist-led public breast cancer screening pathway in Quintana Roo, Mexico
Luis Martinez Juarez (The University of Manchester); Enrique Ureña-Bogarín (Servicios Estatales de Salud de Quintana Roo); Iyari Márquez-Torres (UNEME DEDICAM Chetumal, Servicios Estatales de Salud de Quintana Roo); Jesús Corral-Fonseca (Servicios Estatales de Salud de Quintana Roo); Juan Pablo Aguilar-Mendoza (Medical Mission Network México)
P098Patient Safety, Care Pertinence, and Proactive Care Routing at Scale: Critical Alerts from a CDSS Embedded in an Ambient AI Scribe in Colombia and Brazil
Eduardo Becerra Zapata (Telepatia)
P099Are ECG Foundation Models Always Better? A Study of Heart Failure Risk Prediction and Fairness
Tanay Patel (University of Sheffield); Xuelong An (University of Sheffield); Chen Chen (University of Sheffield)
P100CARMEN: Trustworthy, Explainable Multi-Agent AI for Cardio-Cerebrovascular Home Monitoring and Triage in Low-Resource Settings
Carlos Manuel Orrego-Franco (National University of Colombia); Elisabeth Restrepo Parra (National University of Colombia)
P101Self-Evolving Multi-Agent Framework for Medical Anomaly Detection
Yusra Shereen (FAST NUCES)
P102Variation in Multimodal LLM Diagnostic Performance Across ICD-Stratified Clinical Domains
Michael Cameron Gramanie (University of the Witwatersrand); Ismail Kalla (Charlotte Maxeke Johannesburg Academic Hospital); Shabir Mahdi (University of the Witwatersrand); Amy Rouillard (University of the Witwatersrand); Sitwala Mundia (Grai Labs); Ziyaad Dangor (University of the Witwatersrand); Haroon Saloojee (University of the Witwatersrand); Bruce Bassett (WITS)
P103AI-Assisted Clinical Documentation in Emergency Medicine: A Real-World Implementation Experience and Opportunities for Workflow Enhancement
Thajudee Mohammed Zuhary (Singapore General Hospital)
P104Can Vision-Language Models Reliably Assess Dental Radiograph Quality? A Pilot Study Across Commercial and Open Multimodal Models
Ashhadul Islam (KTH Royal Institute Of Technology); Mina  Maged Zekry Gayid  (Happy Dental Clinic)
P105Scaffold infrastructure to lift 2D DINOv3 Latents to 3D: application in  neonatal brain segmentation for neurodevelopment monitoring
ANNAYAH  USMAN (Institute of Business Administration Karachi); Behraj Khan (Institute of Business Administration Karachi); Hazrat Ali (University of Stirling); Tahir Qasim Syed (Institute of Business Administration Karachi)
P106Intelligent Robotic Rehabilitation for Pediatric Cerebral Palsy: From Assessment to Adaptive Exoskeleton Systems
Zhetenbayev Nursultan (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev); Ayazbay  Abu Alim (Satbayev University); Sagynbayev  Nurtilek (Satbayev University); Nurgizat  Yerkebulan (Satbayev University); Sultan  Aidos (Satbayev University); Abilgazy  Nursultan (Satbayev University); Sergazin  Gani (ALT University named after Mukhamedzhan Tynyshpaev); Ozhikenov  Kassymbek (Satbayev University)
P107Intelligent Control Strategies for Pediatric Rehabilitation Exoskeletons: A Review and Practical Implementation
Zhetenbayev Nursultan (Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeyev); Ayazbay  Abu Alim (Satbayev University); Sagynbayev  Nurtilek (Satbayev University); Nurgizat  Yerkebulan (Satbayev University); Sultan  Aidos (Satbayev University); Abilgazy  Nursultan (Satbayev University); Sergazin  Gani (ALT University named after Mukhamedzhan Tynyshpaev); Ozhikenov  Kassymbek (Satbayev University)
P108AI-Empowered Functional Assessment of Ankle Joint Movements Using Marker-Based Kinematic Data in Controlled Conditions
Giovanni Mastrangelo (University of Rome Tor Vergata); Daniele Cafolla (Swansea University)
P109Are Older Adults Ready to Accept Voice Assistants as Artificial Companions? Exploring the Role of Prior Voice Assistant Experience
Nadeesha Naradde Vidana Pathirana (Aston University); Amal  Htait (Aston University); Elizabeth  Wanner (Aston University);  Cristina  Romani (Aston University)
P110An Interpretable Dual Graph Autoencoder Framework for Resting-State fMRI Brain Graph Analysis
Georgia Kapetadimitri (University of Macedonia); Eftychios  Protopapadakis (University of Macedonia); Dimitrios Hristu- Varsakelis (University of Macedonia)
P111Comparing A Priori and A Posteriori Areas of Interest in Dynamic Social Scenes: An Eye-Tracking Study of Visual Attention in Autism Spectrum Disorder
Perrine Simon (Université de Picardie Jules Verne); Mahmoud Elbattah (Université de Picardie Jules Verne); Béatrice Bourdin (Université de Picardie Jules Verne); Federica Cilia (Université de Picardie Jules Verne)
P112Workflow-Level ROI Restriction for Deep Learning- Based 3D Aortic Valve Segmentation in Non-Contrast Cardiac CT
Adriano Galindo Leal (IPT – Instituto de Pesquisas Tecnológicas); Débora Cristina  de Azevedo (University of São Paulo); Marden  Nadson Lelis Teixeira (IPT – Institute for Technological Research); Paulo Andrade Lotufo  (University of São Paulo)
P113General or Medical CLIP, Which one Shall We Choose?
Adriano Galindo Leal (IPT – Instituto de Pesquisas Haiting Huang (Friedrich-alexander university); Dario Zanca (Friedrich-Alexander-Universität Erlangen-Nürnberg); Bjoern Eskofier (LMU München); Emmanuelle Salin (Friedrich- Alexander-Universität Erlangen-Nürnberg)
P114Cross-View Attention Routing in Capsule Networks for Structured Interpretable Multi-View Mammogram Breast Cancer Classification
Li XiMing (Independent Researcher); Qi Dong (Sanofi); Wei Liu (Xi’an University of Posts and Telecommunications); Mengfei Wu (Xi’an University of Posts and Telecommunications); Rongyao Xu (China Telecom Xi’an Branch)
P115A Cascade YOLO-Based Approach for Robust Retinal Optic Disc and Optic Cup Segmentation
Hossein Komijani (Ulster University); Bryan  Gardiner (Ulster University); Pratheepan Yogarajah (Ulster University); Dermot  Kerr (Ulster University)
P116XSSR: Cross-Domain Self-Supervised Representative Selection for Efficient Annotation in Medical Image Segmentation
Byunghyun Ko (Northeastern University); Aleksei Anisimov (Northeastern University); Kobe Ke (Northeastern University); Suhas Bharthepude (Northeastern University); Jeongkyu Lee (Northeastern University)
P117Regional Myocardial Strain Estimation with MyoTrackerChrono
Abas Abdi (University of West London); Jevgeni Jevsikov (Imperial College London); Arshian Hussain (University of West London); Alireza Alibakhshi (University of West London); Isreal Ufumaka (University of West London); Eman Alajrami (University of West London); Darrel Francis (Imperial College London); Nasim Dadashi Serej (University of West London); Massoud Zolgharni (University of West London)
P118Benchmarking deep learning and conventional methods for 2D and 3D lung tumour segmentation in CT images
Leenah Aljuhani (Swansea University); Wei Liu  (Xi’An university of posts and telecommunications); Jiaxiang Zhang (Swansea University)
P119Gumbel-Sigmoid Based Adaptive Sparse Hypergraph Learning for Brain Structural Connection Analysis
Yulei Zeng (South China University of Technology); Tong Xiong (South China University of Technology); jiakun xu (South China University of Technology); Xin Zhang (South China University of Technology)
P120A Deep Learning Pipeline for Diabetic Foot Ulcer Detection and Stage Classification
Rauf Malick (GUTECH); Khalid Siddiqui (GUTECH); Muhammad Siddiqui (Dow University of Health Sciences (DUHS)); Abdul Basit (Indus Diabetes and Endocrinology Center (IDEC))
P121Contrastive Learning for Acne Severity Grading with Small-Scale Datasets
Milana-Solomiia Zhuhaievych (Munster Technological University); JingHua Ye (Munster Technological University)
P122Adversarial Attacks vs. Data Augmentation Strategies: A Comprehensive Comparative Study with Application to Diabetic Retinopathy Detection
Mahdi Hadef (EMP); yacine said boulahia (EMP); Abdenour Amamra (EMP)
P123Towards Fair Radiographic AI: Representation and Classification Bias Analysis
Nthabiseng Mokoena (University of Johannesburg); Ian Sanders (University of the Witwatersrand); Hima Vadapalli (University of Johannesburg)
P124Evaluating the trustworthiness of the Fréchet Inception Distance with stochastic embedding representations
Ciaran Bench (National Physical Laboratory); Vivek Desai (National Physical Laboratory); Carlijn Roozemond (Dutch Expert Centre for Screening); Ruben van Engen (Dutch Expert Centre for Screening); Spencer Thomas (National Physical Laboratory)
P125Multi-Expert Consensus as a Label-Free Quality Surrogate for Echocardiographic LV Segmentation
Isreal Ufumaka (University of West London); Alireza Alibakhshi (University of West London); Patricia Fernandes (University of West London); Abas Abdi (University of West London); Arshian Hussain (University of West London); Nasim Dadashiserej (University of West London); Matthew Shun-Shin (Imperial College London); Darrel Francis (Imperial College London); Massoud Zolgharni (University of West London)
P126Transformer Architectures Improve Minority-Class Detection in Histopathological Classification of Colorectal Polyps
Rajashekar Korutla (Northeastern University); Tanaya Kondejkar (Northeastern University); Gene  Tunik (Northeastern University); Saeed Amal (Northeastern University)
P127Empathic Structured Exploration Model (ESEM): A Conversational Framework for Mental Health Screening Chatbots
Wai Tak Wong (Saint Francis University)
P128A Scalable LLM-Based System for Early Mental Health Intervention and Workforce Resilience Using Genkit
Karan Panwar (Anglia Ruskin University); Sridevi  Kalidindi (South London and Maudsley NHS trust); Silvia  Cirstea (Anglia Ruskin University); Ashim Chakraborty (Anglia Ruskin University)
P129Performance Evaluation of LLMs for Psychological Assessment
Yuvraj Gupta (University of the Fraser Valley); Opeyemi Adesina (University of the Fraser Valley)
P130When LLMs guide the Plate: Exploring Diet Recommendations for Mental Health Support
Grace Ataguba (Dalhousie University); Md Riyadh (Carleton University); Oladapo Oyebode (Dalhousie University); Gerry Chan (Dalhousie University); Halleluyah Aworinde (Durban University of Technology); Somtoo Rita Henry (Dalhousie University); Kingsley Arua  Kalu (Western Sydney University); Rita Orji (Dalhousie University)
P131AI–based Approaches for Diabetes Management in Africa: Educational, Self-Management, and Adherence- Oriented Interventions
Khalid Mohammad (Durham University); Alexandra Cristea (Durham University)
P132Beyond Accuracy: A Decision-Theoretic Framework for Allocation-Aware Healthcare AI
Rifa Ferzana (Middlesex University)
P133Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges
Zahraa Al Sahili (Queen Mary University of London); Ioannis Patras (Queen Mary University of London); Matthew Purver (Queen Mary University of London)
P134Toward Phenotypic Personalized Medicine for Antimicrobial Resistance: An Interpretable Proof of Concept
Neha Nair (Manipal Institute of Technology, Manipal); Ramakrishna  Mundugar (Manipal Institute of Technology, Manipal); Jaideep Rao (Indian School of Business)
P135Causal Clinical-Radiomics Analysis Reveals Heterogeneous Survival Benefit from Chemotherapy in Lung Cancer Patients
Charlie Johnson (Imperial College London); Ainkaran Santhirasekaram (Imperial College London); Mitchell Chen (Imperial College London)
P136From Reactive Telephony to AI-Based Digital Coordination: Impacts on Patient Safety and Cost of Poor Quality in Multilingual Hospital Settings
Thiti Samuthrat (Bangkok Hospital Phuket); Sirisak Yaisoongnern (Bangkok Hospital Phuket); Aphisit Damkhong (Bangkok Hospital Phuket); Siwarak Phetpheng (Bangkok Hospital Phuket); Supich  Tiangpuengtam (Bangkok Hospital Phuket); Pongwarat Sae-Jie (Bangkok Hospital Phuket); Supannika Poonthananiwatkul (Bangkok Hospital Phuket); Savanai Nilwan (Bangkok Hospital Phuket); Chanoknan  Sereewattana (Bangkok Hospital Phuket); Ladda Thaweesak Thaweesak (Bangkok Hospital Phuket); Preeyanuch Wongpanich Wongpanich (Bangkok Hospital Phuket); Preyanuch Boonrat Boonrat (Bangkok Hospital Phuket); Maria Kritalukkul Kritalukkul (Bangkok Hospital Phuket); Ratree Saeton Saeton (Bangkok Hospital Phuket)
P137Using Microsoft Copilot to Support Clinical Trial Screening in Skin Cancer MDT Meetings: An Early Evaluation at The Royal Marsden
Larne Jones-Whiting (Royal Marsden Hospital); Richard Lee (Royal Marsden Hospital); Myles Smith (Royal Marsden Hospital)
P138Artificial Intelligence Use in Finnish Wellbeing Services Counties: A Cross-sectional Study 
Maarit Kauppi (Finnish Institute of Occupational Health); Pyry Silomaa (Finnish Institute of Occupational Health); Risto Nikunlaakso (Finnish Institute of Occupational Health); Mika Kivimäki (University College London, UK)
P139PsySummarise: A Decomposed Pipeline for Risk-Aware Clinical Document Generation
Muhammad Hussain (NHS)
P140Project Amelia: A CNN-Based Intelligent Triage System with Explainable AI for Mammography Screening in a Brazilian Oncology Hospital
Igor Boim (Hospital Santa Rita de Cássia); Simone Duarte (Hospital Santa Rita de Cássia)
P141Gaussian Process to predict failure through aseptic loosening in total knee replacements
Harshita Agarwal (Imperial School of Medicine); Suyash Agarwal (Paddington Robotics); Gaurav Bansal (University Hospital of Wales, Cardiff)
P142Comparative Evaluation of U-Net Variants for Automated Segmentation of Cardiac SPECT Images Using Diverse Encoder Architectures
Ahmad Alenezi (Kuwait University); Eman Alawadhi (Kuwait University ); Ata Jodeiri (University of Medical Sciences); Ali Mayya (MeDiTech Institute)
P143AI-Assisted Accurate In Vitro Identification of Cancer Cells
Paulo Amaral (Universidade Federal de Minas Gerais); Lídia Andrade (Universidade Federal de Minas Gerais); Maria Ivonete da Silva (Universidade Federal de Minas Gerais); Juan González (Universidade Federal de Minas Gerais)
P144Reinforcement Learning for Coherent Phase Segmentation of the Clinical Timed Up & Go Test
Muntazir Rashid (Independent Researcher); Arshad Sher (Nottingham Trent University); Isibor Ihianle (Nottingham Trent University); Otar Akanyeti (Aberystwyth University)
P145Machine Learning Models in Pan-Cancer Research: A Review of Validation, Interpretability, and Clinical Usefulness
Adedayo Olowolayemo (CCCU); Amina Souag (CCCU)
P146Hybrid Regular Expression and Large Language Model Pipeline for Structured Extraction of Histopathology Reports
Benedict Reed (Royal Free Hospital); Afshin Mosahebi ( Royal Free Hospital ) 
P147Agentic AI Framework for Training and Explaining AI Models: Use Case Prediction of Body-mass Index from Electrocardiogram
Kawai Leung (Novo Nordisk); Elias Abou Zeid (Novo Nordisk)
P148A Cascaded Deep Learning and Clinical Fusion Framework for Clinically Significant Prostate Cancer Detection Using Biparametric MRI
Tom McCloy (Swansea University); Xianghua Xie (Swansea University)
P149 Single-Solution Calibration Conceals Mechanical Extrapolation Uncertainty in Arterial Modelling
Callum Macaulay (University of Glasgow), Dirk Husmeier (University of Glasgow), Vinny Davies (University of Glasgow)
P150Field-Level Malaria Detection from Microscopic Images: A Comparative Study Using a Curated Dataset
Sabrina Nefoussi (URDNRTBC); Sami Maiouh (HCA); Dhia Elhak Menadi (École Militaire Polytechnique); Yousra Zabat (École Militaire Polytechnique); Sanaa Meriem Bouri (École Militaire Polytechnique); Brahim Hadji (Directorate of Research and Developement)
P151Artificial Intelligence-Based Malaria Diagnosis: A Critical Review, Taxonomy, and Open Challenges Toward Explainable and Deployable Systems
Aliou Cisse (Cheikh Anta Diop University (UCAD), Senegal); Ibrahima Niang (Cheikh Anta Diop University (UCAD), Senegal)