(Subject to changes, late-breaking abstracts and STARS are yet to be included)
Wednesday 26th August
| 08:30 | Registration (until 17.00) |
| 08:50-09:00 | Welcome |
| 09:00-10:10 | Tutorial: Translating AI in Clinical Practices Stephen Smith, University of York |
| 10:10-10:30 | Break (tea & coffee) Poster Session One presenters to set up posters |
| 10:30-11:00 | Best paper candidate session one Chair: Daniele Cafolla, Swansea University |
| 10:30-10:45 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) | |
| 10:45-11:00 Pharmacokinetic State Space Models for Unbiased Prediction of Haemodynamic Collapse Rithin Nagaraj (PES University); Sudiksha Chindula (PES University); Bhaskarjyoti Das (PES University) | |
| 11:00-12:00 | Poster Spotlight Presentations (Session 1) Chair: Daniele Cafolla, Swansea University |
| 12:00-13:30 | Lunch & Poster Session One |
| 13:30-14:30 | Keynote chair: Xianghua Xie, Swansea University In Silico ≠ AI — and Why the Difference Matters Alejandro Frangi, University of Manchester |
| 14:30-15:30 | Best paper candidate session two chair: Xianghua Xie, Swansea University |
| 14:30-14:45 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) | |
| 14:45-15:00 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) | |
| 15:00-15:15 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) | |
| 15:15-15:30 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) | |
| 15:30-15:50 | Break (tea & coffee) |
| 15:50-16:10 | Ethics of AI in healthcare chair: Hao Ni, University College London |
| 15:50-16:00 Resampling for Clinical Predictions: Balancing Subgroup Utility, Calibration, and Explanation Stability Paul Ellis (Cardiff University); Sylwia Polberg-Riener (Cardiff University) | |
| 16:00-16:10 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) | |
| 16:10-16:20 | Patient data and privacy chair: Hao Ni, University College London |
| Per-Patient Shapley Explanations Fail Silently Under Federated Privacy — and Warm-Start Restores Them Iain Swift (Munster Technological University); JingHua Ye (Munster Technological University) | |
| 16:20-17:30 | Machine & deep learning for health data chair: Stephen Smith, University of York |
| 16:20-16:30 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) | |
| 16:30-16:40 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) | |
| 16:40-16:50 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) | |
| 16:50-17:00 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) | |
| 17:00-17:10 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) | |
| 17:10-17:20 Parameter-Efficient Multi-Task Learning for Biomedical Abbreviation Disambiguation Vijayalakshmi Manikandan (Athabasca University); Dunwei Wen (Athabasca University); M. Ali Akber Dewan (Athabasca University) | |
| 17:20-17:30 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) | |
| 17:30-17:50 | DoRA-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))* |
Thursday 27th August
| 08:30 | Registration (until 17.00) |
| 09:00-10:00 | Poster Spotlight Presentations (Session 2) chair: Daniele Cafolla, Swansea University |
| 10:00-10:20 | Predictive analytics and healthcare chair: TBA |
| 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) | |
| 10:20-10:40 | AI driven early diagnosis & prevention chair: TBA |
| 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) Poster Session Two presenters to set up posters |
| 11:00-12:00 | Poster Spotlight Presentations (Session 3) chair: Daniele Cafolla, Swansea University |
| 12:00-13:30 | Lunch & Poster Session Two |
| 13:30-14:30 | Keynote chair: Stephen Smith, University of York Generative AI in machine learning: Emerging risks for healthcare Michael Lones, Heriot-Watt University |
| 14:30-15:30 | Poster Spotlight Presentations (Session 4) chair: Daniele Cafolla, Swansea University |
| 15:30-17:00 | Poster Session Three (with tea & coffee) |
| 17:00-17:20 | AI driven proactive care and predictive intervention chair: Xianghua Xie, Swansea University |
| 15:30-15:40 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) | |
| 15:40-15:50 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) | |
| 17:20-17:50 | Trustworthy AI chair: TBA |
| 17:20-17:30 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) | |
| 17:30-17:40 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) | |
| 17:40-17:50 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) | |
| 17:50-18:00 | Multimodal generative AI chair: TBA |
| 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) | |
| 19:30-22:00 | Conference Dinner (Great Hall, King’s Building) |
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 |
| 11:00-12:00 | Poster Spotlight Presentations (Session 5) chair: Daniele Cafolla, Swansea University |
| 12:00-13:30 | Lunch & Poster Session Four |
| 13.30-14:30 | Keynote chair: Daniele Cafolla, Swansea University Challenges in Rehabilitation Robotics: Examples of Innovative Solutions Giuseppe Carbone, University of Cassino, Italy |
| 14:30-14:50 | Intelligent systems & robotics chair: Daniele Cafolla, Swansea University |
| 14:30-14:40 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) | |
| 14:40-14:50 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) | |
| 14:50-15:00 | Ambient 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) | |
| 15:00-15:10 | AI 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) | |
| 15:10-15:30 | Break (tea & coffee) |
| 15:30-16:00 | Medical image analysis and processing chair: Xianghua Xie, Swansea University |
| 15:30-15:40 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) | |
| 15:40-15:50 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) | |
| 15:50-16:00 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) | |
| 16:00-16:20 | Healthcare workflow optimisation and automation chair: Xianghua Xie, Swansea University |
| 16:00-16:10 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) | |
| 16:10-16:20 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) | |
| 16:20-16:30 | STARS: 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) | |
| 16:30-16:40 | Best Poster Prize & Closing remarks |
Poster Session One (Wednesday lunch time)
| P01 | Beyond Trustworthy AI: Unstable Trust, Mental Health AI, and Proof Infrastruc-tures in Healthcare Governance Celine Gauthier-Maxence (CNRS / PSE); Carine Milcent (CNRS / PSE) |
| P02 | A 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) |
| P03 | FedPhysio-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) |
| P04 | Causal 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) |
| P05 | Orthogonal 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) |
| P06 | Uncertainty-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) |
| P07 | A 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) |
| P08 | Multimodal Data Fusion with Federated Multi-Head Attention for Diabetic Retinopathy Severity Classification John Ezembu (Dalhousie University); Josteve Adekanbi (Dalhousie University); Oladapo Oyebode (Dalhousie University) |
| P09 | Standardizing Lightweight Neural Adaptation of Pathology Foundation Models for Gene Mutation Prediction Mohsin Bilal (Prince Sattam bin Abdulaziz University) |
| P10 | MvSG-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) |
| P11 | Interpretable Wearable Gait Phenotyping Identifies Elevated Prodromal Burden in Parkinson’s Disease Dante Trabassi (Sapienza University of Rome) |
| P12 | Latent Gait Instability Reveals a Biomechanical Transition to Falls in Parkinson’s Disease Dante Trabassi (Sapienza University of Rome) |
| P13 | Predicting 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) |
| P14 | OCT-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) |
| P15 | Trained 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) |
| P16 | Gender-Differentiated Medical Advice in a RAG-Based Healthcare AI Assistant: Findings from a Finnish System Enni Sanmark (HUS and University of Helsinki) |
| P17 | Real-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) |
| P18 | A stability-driven clustering framework for clinical data: application of paediatric Hypertrophic Cardiomyopathy identifies patient groups with distinct outcomes Cameron Taylor (UCL) |
| P19 | Weighted Mean SHapley Additive exPlanations (WMSHAP) E. F. Haghish (Uiversity of Bergen) |
Poster Session Two (Thursday lunch time)
| P01 | Beyond 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) |
| P02 | Peak-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) |
| P03 | Do 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) |
| P04 | Controlling for Confounding Bias in Linear Prediction Models for Binary Classification Marta Avalos-Fernandez (University of Bordeaux) |
| P05 | Ontology-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) |
| P06 | Bridging 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) |
| P07 | Evaluating 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)) |
| P08 | Longitudinal 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) |
| P09 | DocAgent-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) |
| P10 | A Multimodal AI-driven Pipeline for Variant Prioritization in Genetic Disorders: Integrating Genomic and Phenotypic Data Gabriella Trucco (University of Milan) |
| P11 | FastAPI-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) |
| P12 | Image-based Survival Prediction of Lung Cancer Eleonora Blazhko (MTU); Ruairi O Reilly (MTU) |
| P13 | Condition-Specific Structural Heart Disease Screening from ECG Features: An Interpretable Binary Relevance Machine Learning Analysis Paola Brena (Bryant Univeristy); Nafees Qamar (Bryan University) |
| P14 | Achieving Fair Skin Lesion Detection through Skin Tone Normalization and Channel Pruning Zihan Wei (University College London); Tapabrata Chakraborty (University College London) |
| P15 | Hybrid 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) |
| P16 | Glaucoma 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) |
| P17 | LightFusionNet: 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) |
| P18 | Architectural 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) |
| P19 | Early 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) |
| P20 | Threat 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) |
| P21 | Rethinking 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) |
| P22 | ClinAuditAI: 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) |
| P23 | Intelligent 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) |
| P24 | From 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) |
Poster Session Three (Thursday afternoon)
| P01 | CITOBOT 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) |
| P02 | Dual-Perspective LLM-as-Judge Evaluation for Clinical Chatbots: Rubric Bias and the Case for Persona-Based Assessment Sanjay Khanna (The Royal Marsden Hospital) |
| P03 | Patient-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) |
| P04 | Explainable Machine Learning for Type 2 Diabetes Risk Prediction: A SHAP-Based Feature Importance Analysis Yayang Wang (NYU) |
| P05 | Synthetic 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) |
| P06 | Detecting 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) |
| P07 | Time-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) |
| P08 | Machine 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) |
| P09 | Mental Health Burden, Frailty, and Length of Stay After Gynecologic Surgery: An EHR-Based Analysis Bridget Webb (Stevenson University); Vivek Singh (Rutgers University) |
| P10 | Causal 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) |
| P11 | Human-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) |
| P12 | Toward Clinically Grounded Multimodal Generative AI in Healthcare Elham Dolatabadi (York University; Vector Institute; University of Toronto); Negin Baghbanzadeh (York University) |
| P13 | Uncanny Valley Effects are Absent in Medical Dilemmas Max Dunn (The Hong Kong Polytechnic University) |
| P14 | Interpretable, Physiology-Informed Machine Learning for Clinically Actionable IVF Dose Optimisation Navkaran Singh (NUHS); Jennifer Sosa (NUHS); Peng Cheang Wong (NUHS) |
| P15 | ML-Enhanced Epidemiological Modeling for COVID-19 Kanza Arshad (Cinvestav) |
| P16 | How 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) |
| P17 | Achieving 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) |
| P18 | Do AI-enabled clinical decision support systems impact clinical care in low-resource settings? Preliminary results from a scoping review Rishi Patel (Imperial College London) |
| P19 | Reproducibility Challenges and Next Steps for Clinical GenAI in Traditional Chinese Medicine (TCM) Wenping Wu (Nanjing University of Chinese Medicine); Jianliang Gao (Imperial College London) |
Poster Session Four (Friday lunch time)
| P01 | Intelligent 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) |
| P02 | Intelligent 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) |
| P03 | AI-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) |
| P04 | Are 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) |
| P05 | An 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) |
| P06 | Comparing 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) |
| P07 | Workflow-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) |
| P08 | General 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) |
| P09 | Cross-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) |
| P10 | A 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) |
| P11 | XSSR: 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) |
| P12 | Regional 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) |
| P13 | Benchmarking 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) |
| P14 | Gumbel-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) |
| P15 | A 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)) |
| P16 | Contrastive Learning for Acne Severity Grading with Small-Scale Datasets Milana-Solomiia Zhuhaievych (Munster Technological University); JingHua Ye (Munster Technological University) |
| P17 | Adversarial 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) |
| P18 | Towards Fair Radiographic AI: Representation and Classification Bias Analysis Nthabiseng Mokoena (University of Johannesburg); Ian Sanders (University of the Witwatersrand); Hima Vadapalli (University of Johannesburg) |
| P19 | Evaluating 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) |
| P20 | Multi-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) |
| P21 | Transformer 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) |
| P22 | Empathic Structured Exploration Model (ESEM): A Conversational Framework for Mental Health Screening Chatbots Wai Tak Wong (Saint Francis University) |
| P23 | A 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) |
| P24 | Performance Evaluation of LLMs for Psychological Assessment Yuvraj Gupta (University of the Fraser Valley); Opeyemi Adesina (University of the Fraser Valley) |
| P25 | When 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) |
| P26 | AI–based Approaches for Diabetes Management in Africa: Educational, Self-Management, and Adherence- Oriented Interventions Khalid Mohammad (Durham University); Alexandra Cristea (Durham University) |
| P27 | Beyond Accuracy: A Decision-Theoretic Framework for Allocation-Aware Healthcare AI Rifa Ferzana (Middlesex University) |
| P28 | Multimodal 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) |
| P29 | Toward 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) |
| P30 | Causal 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) |
| P31 | From 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) |
| P32 | Using 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) |
| P33 | Artificial 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) |
| P34 | PsySummarise: A Decomposed Pipeline for Risk-Aware Clinical Document Generation Muhammad Hussain (NHS) |
| P35 | Project 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) |
| P36 | Gaussian 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) |
| P37 | Comparative 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) |
| P38 | AI-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) |
| P39 | Reinforcement 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) |