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Detailed Programme 2025

MONDAY 8TH SEPTEMBER

09:00-09:15 Welcome & Opening Remarks Elena Hall
09:15-10:00 Tutorial: Large Language Models (Part 1)
Meng Fang, University of Liverpool
Elena Hall
10:00-10:15 Break (tea & coffee) Sibilla Room
10:15-11:00 Tutorial: Large Language Models (Part 2)
Meng Fang, University of Liverpool
Elena Hall
11:00-12:00 Poster Spotlight Presentations (Session 1)  Elena Hall
12:00-13:30 Lunch & Poster Session 1 Sibilla Room
13:30-14:30 Keynote: Artificial Intelligence for Surgical Imaging
Daniel Elson, Imperial College London
Elena Hall
14:30-15:30 Best paper candidate session 1 Elena Hall
  Hybrid Depression Detection from Spontaneous Speech via RFE‑Majority Voting and WavLM‑Based Attention
Attas, Dalia (Umm Alqura University)
 
  Beyond Accuracy: Enhancing Parkinson’s Diagnosis with Uncertainty Quantification of Machine Learning Models
Asif Azad (BUET); Md. Saiful Islam (University of Rochester); Ehsan Hoque (University of Rochester); M Saifur Rahman (BUET)
 
  CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
Farheen Ramzan (University of Sheffield); Yusuf Kiberu (Nottingham University Hospitals NHS Trust); Nikesh Jathanna (Nottingham University Hospitals NHS Trust); Shahnaz Jamil-Copley (University of Nottingham); Richard Clayton (University of Sheffield); Chen Chen (University of Sheffield)
 
  High-Confidence Labelling of Pathology Reports using LLM-Based Unanimous Ensembles with Limited Data
Thomas Greatrix (Cardiff University); Frank Langbein (Cardiff University); Roger Whitaker (Cardiff University); Liam Turner (Cardiff University); Gualtiero Colombo (Cardiff University)
 
15:30-16:00 Break (tea & coffee) Sibilla Room
16:00-17:00 Best paper candidate session 2 Elena Hall
  Safeguarding Privacy for Medical Data with a Novel Key-Lock Module in Federated Learning
Hanchi Ren (Swansea University); Jingjing Deng (Durham University); Xianghua Xie (Swansea University); Xiaoke Ma (Xidian University); Jianfeng Ma (Xidian University)
 
  Evaluating Personalised Beneficial Interventions in the Daily Lives of Older Adults Using a Camera
JLongfei Chen (University of Edinburgh); Christopher Lochhead (University of Edinburgh); Robert B. Fisher (University of Edinburgh); Nusa Faric (University of Edinburgh); Jacques Fleuriot (University of Edinburgh); Subramanian Ramamoorthy (University of Edinburgh)
 
  Spatiotemporal Contrastive Learning for Echocardiography View Classification
Preshen Naidoo (University of West London); Patricia Fernandes (University of West London); Isreal Ufumaka (University of West London); Nasim Dadashi Serej (University of West London); James Howard (Imperial College London); Darrel Francis (Imperial College London); Charlotte Manisty (University College London); Massoud Zolgharni (University of West London)
 
  Detection of multiple cardiac disorders based on heartbeat morphology and time segment analysis of ECG signals
Subrata Sarkar (Jadavpur University); Debjit Dhar (Jadavpur University); Rajib Sarkar (Derozio Memorial College); Sanjoy Kumar Saha (Jadavpur University); Tapabrata Chakraborti (The Alan Turing Institute, University College London)
 

TUESDAY 9TH SEPTEMBER

09:00-10:00 Keynote: All that glitters is not gold – The unintended harm of artificial intelligence in healthcare
Kerstin Denecke, Bern University of Applied Sciences, Switzerland
Elena Hall
10:00-10:20 Ethics of AI in healthcare Elena Hall
  Empirical Study of Social Bias in Medical Question Answering via Large Language Models
Xiao Xiao (University of liverpool); Jiaxu Zhao (Eindhoven University of Technology); Terry Payne (University of Liverpool); Meng Fang (University of Liverpool)
 
  Prompt Injection is All You Need: A Framework for Evaluating Healthcare Misinformation in LLMs
Zad Chin (Harvard University)
 
10:20-10:30 Multimodal generative AI Elena Hall
  DiabEye-Q: AI-driven Longitudinal Analysis of Ophthalmoscopic Images for Early Diabetes Prediction in Qatari Adults
Sulaiman Khan (Hamad Bin Khalifa University); Md. Rafiul Biswas (Hamad Bin Khalifa University); Zubair Shah (Hamad Bin Khalifa University)
 
10:30-11:00 Break (tea & coffee) Sibilla Room
11:00-12:00 Poster Spotlight Presentation (Session 2) Elena Hall
12:00-13:30 Lunch & Poster Session 2 Sibilla Room
13:30-14:15

Plenary Panel Keynote

Mindful Mortality: Responsible AI for the Dying Process
Elvira Perez Vallejos, University of Nottingham & RAI UK

Elena Hall
14:15-15:00 Panel Discussion: Responsible AI for Healthcare
Chaired by: Elvira Perez Vallejos, University of Nottingham & RAI UK
Elena Hall
15:00-15:30 Break (tea & coffee) Sibilla Room
15:30-15:50 AI driven early diagnosis and prevention Elena Hall
  Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet Model
Ahmad Hasasneh (AAUP); Suhad Malayshi (AAUP)
 
  Early objective ASD screening system based on eye tracking and machine learning
Sara Vecino (University of Oviedo); Gloria Acevedo-Diaz (ADANSI); Daniel Fernandez-Lanvin (University of Oviedo); Javier De Andres (University of Oviedo); Martin Gonzalez-Rodriguez (University of Oviedo)
 
15:50-16:30 AI driven proactive care and predictive intervention Elena Hall
  Performance comparison of machine learning models for the prediction of dialysis treatment variables
Alessia Nicosia (Università degli Studi di Palermo); Nunzio Cancilla (Università degli Studi di Palermo); Eleonora Di Liberti (Università degli Studi di Palermo); José David Martín Guerrero (Universitat de València); Yolanda Vives Gilabert (Universitat de València); Angelo Ferrantelli (A.R.N.A.S. “Civico Di Cristina e Benfratelli”); Francesco Iacono (A.R.N.A.S. “Civico Di Cristina e Benfratelli”); Valerio Maria Bartolo Brucato (Università degli Studi di Palermo); Vincenzo La Carrubba (Università degli Studi di Palermo); Ilenia Tinnirello (Università degli Studi di Palermo); Andrea Cipollina (Università degli Studi di Palermo)
 
  Dynamic and explainable mortality risk prediction for TBI patients in the ICU
Hasitha Kuruwita A. (Griffith University); Shu Kay Ng (Griffith University); Alan Wee-Chung Liew (Griffith University); Kelvin Ross (Datarwe); Brent Richards (IntelliHQ); Kuldeep Kumar (Bond University); Luke Haseler (Curtin University); Ping Zhang (Griffith University)
 
  Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs using Deep Learning
Divya Biligere Shivanna (MS Ramaiah University of Applied Sciences); Roopa S Rao (M.S.Ramaiah University of Applied Sciences); Tushar Patil (M.S.Ramaiah University of Applied Sciences); Lichingngamba Tensubam (M.S.Ramaiah University of Applied Sciences); Sowmya Gujjar Vishnu Rao (Institute Of Dental Sciences); Ashok Lingappa (Bapuji Dental College and Hospital)
 
  Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching
Jonas Mueller (Friedrich Alexander University); Alexander Weiss (Friedrich Alexander University); Bjoern Eskofier (Friedrich Alexander University)
 
16:30-16:50 Predictive Analytics in Healthcare Elena Hall
  Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction
Sheresh Zahoor (Munster Technological University); Pietro Liò (University of Cambridge); Gaël Dias (Normandie Univ, Université Caen Normandie, ENSICAEN, CNRS, GREYC); Mohammed Hasanuzzaman (Queen’s University Belfast)
 
  A machine learning-based surrogate model of a hemodialyzer for the prediction of the urea dialyzer clearance
Angelo Giordano (Università degli Studi di Palermo); Nunzio Cancilla (Università degli Studi di Palermo); José Martín-Guerrero (Universitat de València); Yolanda Gilabert (Universitat de València); Michele Ciofalo (Università degli Studi di Palermo); Giorgio Micale (Università degli Studi di Palermo); Alessandro Tamburini (Università degli Studi di Palermo)
 
16:50-17:00 Machine and deep learning approaches for health data Elena Hall
  A Comparison of Potentials and Limitations of Transformer Models for Aspect-based Medical Sentiment Analysis
Yihan Deng (Bern University of Applied Sciences); Kerstin Denecke (Bern University of Applied Sciences)
 
19:00-21:30 Conference Dinner Gonville & Caius Hall

WEDNESDAY 10TH SEPTEMBER

09:00-10:00 Keynote: Advancements in Pharmacovigilance with Large Language Models
Yulan He, Kings College London
Elena Hall
10:00-10:10 Healthcare workflow optimisation and automation Elena Hall
  Evaluating the feasibility of using smaller Large Language Models for generating impressions from findings in radiology reports
Margarita Deli-Slavova (Swansea University); Julian Hough (Swansea University)
 
10:10-10:30 Maternity and women’s health and wellbeing Elena Hall
  Patient-Centred Explainability in IVF Outcome prediction
Adarsa Sivaprasad (University of Aberdeen); Ehud Reiter (University of Aberdeen); David McLernon (University of Aberdeen); Nava Tintarev (Maastricht University); Siladitya Bhattacharya (University of Aberdeen); Nir Oren (University of Aberdeen)
 
  From Clinic to Code: Using Clinician Insights to Develop a Framework for Fair and Representative Datasets in Women’s Health AI
Andrea Heaney (TU Dublin); Emma Murphy (TU Dublin); Eugene Hickey (TU Dublin)
 
10:30-11:00 Break (tea & coffee) Sibilla Room
11:00-12:00 Poster Spotlight Presentations (Session 3) Elena Hall
12:00-13:30 Lunch & Poster Session 3 Sibilla Room
13:30-14:20 Machine and deep learning approaches for health data (cont.) Elena Hall
  Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet Inventory
Yuan Zhu (Institute of Medical Statistics, Computer and Data Sciences (IMSID)); Cord Spreckelsen (Institute of Medical Statistics, Computer and Data Sciences (IMSID)); Maximilian Schilling (Department of Neurosurgery, University Medicine Greifswald, Greifswald); Sasanka Potluri (Institute of Medical Statistics, Computer and Data Sciences (IMSID))
 
  Multi-Modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer Classification
Charalambos Chrysostomou (The Cyprus Institute); Constantine Dovrolis (The Cyprus Institute)
 
  BCONDS: Borderline Counterfactual Oversampling with Noise elimination and Density Scoring
Asifa Qureshi (Dundalk institute of technology); Abhishek Kaushik (Dundalk Institute of Technology); Roisin Loughran (Dundalk Institute of Technology); Fergal Mc Caffery (Dundalk Institute of Technology)
 
  Decoding the Stressed Brain with Geometric Machine Learning
Sonia Koszut (University of Cambridge); Sam Nallaperuma-Herzberg (University of Cambridge); Pietro Lio (University of Cambridge)
 
  Integrating Rule-Based eGFR Labels with Expert GP Annotations: A Multi-Method Framework for CKD Classification
Ali Guran (Swansea University); Avishek Siris (Swansea University); Gary K.L. Tam (Swansea University); James Chess (Wales Kidney Research Unit and Morriston Hospital); Xianghua Xie (Swansea University)
 
14:20-14:30 Assistive living technology  
  Enhanced Sparse Point Cloud Data Processing for Privacy-aware Human Action Recognition
Maimunatu Ahmad Tunau (Aston University); Vincent Zakka (Aston University); Zhuangzhuang Dai (Aston University)
 
14:30-14:50 Intelligent systems and robotics Elena Hall
  Human-centred Design of AI-Driven Robots for Healthcare in a Global Context: a Case Study of AIREC (AI-driven Robot for Embrace and Care)
Toshie Takahashi (Waseda University)
 
  A protocol for analysing ankle motion data: a standardized approach to kinematic assessment
Giovanni Mastrangelo (University of Rome Tor Vergata)
 
14:50-15:00 AI in echocardiography Elena Hall
  Deep Learning for Assessing Rotational Misalignment in Echocardiographic Imaging
Patricia Fernandes (University of West London); Preshen Naidoo (University of West London); Isreal Ufumaka (University of West London); Sara Adibzadeh (University of West London); Eman Alajrami (University of West London); Jevgeni Jevsikov (Imperial College London); Nasim Dadashiserej (University of West London); James Howard (Imperial College London); Matthew Shun-Shin (Imperial College London); Darrel Francis (Imperial College London); Massoud Zolgharni (University of West London)
 
15:00-15:30 Break (tea & coffee) Sibilla Room
15:30-15:40 AI in mental health Elena Hall
  Breathalyzer as a Remote Monitoring and Support System for AUD: Early Findings on Dropout and Relapse Prediction Using Machine Learning
Valentina Navarro-Ovando (Amsterdam UMC); Jop Rijksbaron (Amsterdam UMC); Glenn Dumont (Amsterdam UMC); Cristian Rodriguez Rivero (Polytechnic University of Catalonia)
 
15:40-16:00 Medical image analysis and processing Elena Hall
  Graph Convolutional Neural Networks to Model the Brain for Insomnia
Kevin Monteiro (University of Cambridge); Sam Nallaperuma-Herzberg (University of Cambridge); Martina Mason (Royal Papworth Hospital); Steven Niederer (Alan Turing Institute)
 
  Classification-to-Segmentation: Class Activation Mapping for Zero-Shot Skin Lesion Segmentation
Matthew Cockayne (Keele University); Marco Ortolani (Keele University); Baidaa Al-Bander (Keele University)
 
16:00-16:20 Best Poster Prize & Closing remarks Elena Hall

POSTER SESSION ONE – MONDAY

P01Feature extraction from medical records to increase the accuracy of intracranial aneurysm rupture likelihood
Julia Zakaszewska (Gdansk University of Technology); Patryk Jasik (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Justyna Fercho (Department of Emergency Medicine, MUG, UCC in Gdańsk, Poland); Piotr Fonferek (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Katarzyna Konieczna (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Hanna Lisowska (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Jakub Sadowy (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Daria Binerowska (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Maciej Pestka (Faculty of Applied Physics and Mathematics, GdańskTech, Poland); Michalina Dudra (Students’ Scientific Circle of Emergency Medicine, MUG, Poland); Weronika Jagieło (Students’ Scientific Circle of Emergency Medicine, MUG, Poland); Klaudia Kokot (Students’ Scientific Circle of Emergency Medicine, MUG, Poland); Dariusz Szplit (Department of Innovation, Analytics, and MedTech Implementation, MUG, Poland); Jacek Szypenbejl (Department of Emergency Medicine, MUG, UCC in Gdańsk, Poland); Tomasz Szmuda (Neurosurgery Department, Swissmed Luxmed Hospital in Gdańsk, Poland); Mariusz Siemiński (Department of Emergency Medicine, MUG, UCC in Gdańsk, Poland)
P02Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning
Boiumelo Ronald Matlatla (University of Johannesburg); Dustin van der Haar (University of Johannesburg); Hima Vadapalli (University of Johannesburg)
P03Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography
Muhammad Faheem (University of East Anglia); Rudy Lapeer (University of East Anglia); Beatriz De La Iglesia (University of East Anglia); Dr Rahul Gore (5GoreConn); Dr Rowan Connell (5GoreConn); Wenjia Wang (University of East Anglia)
P04Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-Saharan Africa
Gage Nott (University of Johannesburg); Hima Vadapalli (University of Johannesburg); Dustin Van der Haar (University of Johannesburg)
P05MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive Intervention
MOHAMED ADLAN AIT AMEUR (University of Strathclyde); Erfu Yang (University of Strathclyde); William McGeown (University of Strathclyde); Yin-Ping Zhang (University of Xi’an Jiaotong)
P06Markers of Fibromyalgia: Classification and Subtyping Using Self-Reported Measures
Delnia Alipour (University of Glasgow); Olga Perepelkina (Intel); Simone Stumpf (University of Glasgow)
P07 AI-Driven Triage for External Eye Diseases: A Deep Learning and LLM Approach for Community Vision Care
Kaden Bunch (The Warren Alpert Medical School of Brown University); Zishuai Chou (The Warren Alpert Medical School of Brown University); Andrew Barton (The Warren Alpert Medical School of Brown University)
P08Affective State and Pain Estimation through Facial Emotion Analysis
Christine Asaju (University of Johannesburg); Hima Vadapalli (University of Johannesburg)
P09Concept Type Prompt Patterns for Automated Medical Reporting in Healthcare
Chayenne van de Graaf (Verticai); Tom Huibers (Verticai); Wishnu Prasetya (Utrecht University); Sjaak Brinkkemper (Utrecht University)
P10AI Nurses Network: Building a clinical research network on artificial intelligence in nursing
Siobhan O’Connor (King’s College London); Crina Grosan (King’s College London); Rebecca Oakey (King’s College London); Xiaoyang Li (King’s College London); Mengying Zhang (King’s College London); Emma Stanmore (The University of Manchester); David Woodcock (Patient and Public Involvement and Engagement (PPIE) represent); Suzanne Bench (Guy’s and St Thomas’ NHS Foundation Trust, London)
P11Constrained optimisation algorithms for population pharmacokinetic model discovery
Sam Richardson (AstraZeneca); Andrzej Nowojewski (AstraZeneca); Marija Kekic (AstraZeneca); Itziar Irurzun-Arana (GSK); Damilola Olabode (AstraZeneca); Diansong Zhou (AstraZeneca); Oleg Stepanov (AstraZeneca); Weifeng Tang (AstraZeneca); Richard Dearden (AstraZeneca); Megan Gibbs (AstraZeneca)
P12Adapting self-attention algorithms to chemogenomic spaces to predict antimicrobial resistance and accelerate antibiotic discovery
Diana Martynova (Zacodi Labs)
P13Ethical and Privacy-Preserving AI for Predicting Cognitive Decline in the Elderly Through Long-Term Health Monitoring: A Survey
Mariya Frolova (University of Ottawa); Kalonji Kalala (University of Ottawa)
P14Machine learning based prognosis prediction of intracerebral hemorrhage outcome and counterfactual analysis on treatment effectiveness of surgical intervention
Eunhye Yang (The University of Hong Kong); Kay-Cheong Teo (The University of Hong Kong); Gary Kui Kai Lau (The University of Hong Kong); Joshua Wing Kei Ho (The University of Hong Kong)
P15Applying Machine Learning to Natural Product Chemical Space
David Ntim (Duke University); James Carter (Duke University); Amy Chung (Duke University); Daniel Reker (Duke University)
P16The influence of dialogue flow on stress levels when booking healthcare appointments with AI
Milos Kravcik (DFKI); Elisabeth Reiswich (Aaron.ai); Iwan Lappo-Danilewski (Aaron.ai); David Buschhüter (DFKI GmbH); Patrick Jähnichen (Aaron.ai)
P17Revealing Cancer Patients’ Real-World Daily Life Concerns via Large Language Models
Jiyoon Han (Samsung Medical Center); Mangyeong Lee (Sungkyunkwan University); Juhee Cho (Sungkyunkwan University)
P18AI-Based Enhancement of 4D Flow MRI for Hemodynamic Assessment in Bicuspid Aortic Valve
Houriehsadat Jamalidinan (University of Calgary); Julio Garcia (University of Calgary)
P19Sandbagging in AI as Medical Devices: Patient Safety and Liability Risks
Eugenia Forte (United Lincolnshire Hospitals Trust)
P20Surgical Scene Understanding using Context Prompting for Multimodal Large Language Models
Jamie Clements (University of Stirling); Hazrat Ali (University of Stirling)
P21Exploring Advanced Deep Learning Models for Super Resolution of 3D Dental CBCT Volumes
Rahim Ullah (University of Glasgow); Hassan Abbas (University of Glasgow); Syed Waqar Nabi (University of Glasgow)
P22Prompt-Guided Patch UNet-VAE with Adversarial Supervision for Adrenal Gland Segmentation in CT Medical Images
Hania Ghouse (King Fahd University of Petroleum and Minerals); Muzammil Behzad (King Fahd University of Petroleum and Minerals)
P23Chimera: Optimizing Multi-Modal, Multi-Task GNN Architectures for Precision Neuroscience
Dirk Keller (University Medical Center Utrecht); Clara Pecci Terroba (University of Cambridge); Angelina Kancheva (University of Glasgow); Ivana Kancheva (Leiden University Medical Center); Marcella Montagnese (University of Cambridge); Richard Bethlehem (University of Cambridge)
P24Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints
Iqra Farooq (University of Surrey); Sara Atito (University of Surrey); Ayse Demirkan (University of Surrey); Inga Prokopenko (University of Surrey); Muhammad Awais (University of Surrey)

POSTER SESSION TWO – TUESDAY

P01Exploring applicability of Text-to-Image models for generating aphasia rehabilitation material
Mihir Mulye (Heinrich Heine University); Stefan Conrad (Institute for Computer Science, Heinrich Heine University, Düsseldorf, Germany); Stefan Knecht (Institute for Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany)
P02Physicochemical-Based Deep Learning for Allergenicity Prediction
Charalambos Chrysostomou (The Cyprus Institute)
P03GNN’s Uncertainty Quantification using Self-Distillation
Hirad Daneshvar (Toronto Metropolitan University); Reza Samavi (Toronto Metropolitan University)
P04A Bayesian Framework for Multi-Layered Gene Regulation: Integrating Expression Data with Curated Knowledge
Aitor Oviedo-Madrid (Universidad de Navarra); José González-Gomariz (Universidad de Navarra); Rubén Armañanzas (Universidad de Navarra)
P05Leveraging Pretrained Language Models for Maternal Health Monitoring in Online Communities
Zhen Zhu (University of Kent)
P06Investigating the Applicability of Gait-based Health Assessment in a Domestic Environment
Chris Lochhead (University of Edinburgh); Robert Fisher (University of Edinburgh); Longfei Chen (University of Edinburgh); Rhona Lochhead (N/A)
P07Unmasking the Algorithm: Bridging Innovation and Ethics in AI-Enabled Psychological Care
Chen Hascalovitz (University of Ottawa); Raywat Deonandan (University of Ottawa)
P08Development of an Adaptive Foot Prosthesis with an Elastic Element and Shock-Absorbing Sole Without the Use of Electric Actuators
Nursultan Zhetenbayev (Almaty University of Power Engineering and Telecommunications named Gumarbek Daukeyev); Sayat Akhmejanov (Satbayev University); Aidos Sultan (Almaty University of Power Engineering and Telecommunications); Yerkebulan Nurgizat (Almaty University of Power Engineering and Telecommunications); Gani Sergazin (University of Illinois at Urbana-Champaign); Kassymbek Ozhikenov (Satbayev University); Arman Uzbekbayev (Satbayev University); Abu-Alim Ayazbay (Almaty University of Power Engineering and Telecommunications)
P09A Systematic Review of Machine Learning for Public Health Therapeutic Interventions Among Diabetic Patients in Europe
Christopher Ufene (York St John University); Osamwonyi Osaro (York St John University); Shaiyini Ravindran (University of Greenwich)
P10Coding Care: Care Ethics and Technical Practices in AI Mental Health Applications
Meiting Wang (university of Auckland)
P11SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling
Jiaye Yang (University of North Carolina at Chapel Hill); Xinyu Zhao (University of North Carolina at Chapel Hill); Tianlong Chen (University of North Carolina at Chapel Hill); Kandyce Brennan (University of North Carolina at Chapel Hill)
P12Conferences as a Tool for Increasing Medical AI Literacy: A Before and After Study
Abdel Rahman Osman (NHS); Nafisa Islam (NHS); Laveinia Godfrey (NHS)
P13A Study on the Need for AI-Assisted Areas in Large-Scale Cohort Data Management: Using the Korean Brain Disease Integrated Cohort
Sujung Oh (Sungkyunkwan University); Junwoo Seo (Sungkyunkwan University); Hwamin Woo (Sungkyunkwan University); Eunjee Kang (Samsung Medical Center); Danbee Kang (Sungkyunkwan University)
P14Towards Evaluating Capabilities of Vision Language Models in Ophthalmology
Rishi Ramessur (University of Edinburgh); Peter Thomas (Moorfields Eye Hospital); Sotirios Tsaftaris (University of Edinburgh); Steven McDonagh (University of Edinburgh)
P15Artificial Intelligence for Smartphone Imaging of the External Eye: A Scoping Review
Negin Sanadgol (University College London); Mertcan Sevgi (Peek Vision); Abdullah Khan (University College Dublin); Ariel Ong (Univesrity College London); Iris Gordon (London School of Hygiene & Tropical Medicine); Jennifer Evans (London School of Hygiene & Tropical Medicine); Nigel Bolster (Peek Vision); Andrew Bastawrous (Peek Vision)
P16Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Task
Hajar Chadli (Department of Psychology, University of South Wales); Biao Zeng (Department of Psychology, University of South Wales); Xiaoyu Zhou (Department of Respiratory and Critical Care Medicine, The Frist Affiliated Hospital of Bengbu Medical University)
P17Frontline Clinical Diagnosis – FTIR on Pancreatic Cancer
Deb Roy (Swansea University)
P18Integrating Artificial Intelligence to Enhance Clinical Documentation, Real-Time Auditing, and Decision-Making in a Tertiary Care Hospital: A Comparative Audit Study
Asfia Akhtar (Bon Secours Hospital); Faizan Hameed (Bon Secours Hospital)
P19DECODE: Delirium Detection from Continuous Digital Behaviour in Dementia
Cong Mou (University of Nottingham); Mian Wu (University of Nottingham); Shreyank N Gowda (University of Nottingham); Beili Shao (University of Nottingham)
P20Predicting ALSFRS-R thin-plate spline derived Progression Clusters using Initial Assessment Data
Tamara Matthews (Technological University Dublin); Dympna O’Sullivan (Technological University Dublin); Robert Ross (Technological University Dublin)
P21Rapid On-Site Evaluation of Endoscopic Pulmonary Biopsies with Artificial Intelligence
Cristiano Casciani (University of Rome Tor Vergata); Daniele Cafolla (Swansea University ); Matteo Russo (University of Rome Tor Vergata); Vincenzo Ambrogi (University of Rome Tor Vergata); Federico Tacconi (University of Rome Tor Vergata); Andrea Tornese (San Camillo Forlanini Hospital); Maria Cristina Macciomei (San Camillo Forlanini Hospital); Sofia Romani (San Camillo Forlanini Hospital); Gabriele Lucantoni (San Camillo Forlanini Hospital); Sandro Batzella (San Camillo Forlanini Hospital)
P22Detecting muscle activation in surface electromyography
Niloofar Beyki (University of Rome Tor Vergata); Luca Molinaro (Sensor Medica srl); Matteo Russo (University of Rome Tor Vergata)
P23Body-Oriented Gesture Generation System for Medical Interpreter Robots Based on Reinforcement Learning from Human Feedback
Tung Ngo (Technological University Dublin); Emma Murphy (Technological University Dublin); Conor McGinn (Trinity College Dublin); Robert Ross (Technological University Dublin)

POSTER SESSION THREE – WEDNESDAY

P01Robustness of Human vs. AI Measurements Under Progressive Image Degradation
Jevgeni Jevsikov (Imperial College London); Catherine C Stowell (Imperial College London); Tiffany Ng (Imperial College London); Beth Unsworth (Royal Devon and Exeter NHS Foundation Trust); Massoud Zolgharni (Imperial College London); Darrel P Francis (Imperial College London); Charlotte H Manisty (University College London); Matthew J Shun-Shin (Imperial College London)
P02A Clinician-Centred Interface for AI-Powered Echocardiographic Image Quality Feedback
Sara Adibzadeh (University of West London); Patricia Fernandes (University of West London); Mayur Agrawal (University of West London); Ali Gheitasy (University of West London); Nasim Dadashiserej (University of West London); Massoud Zolgharni (University of West London)
P03Domain-Aligned OCT Pre-training: Enhancing Retinal Disease Diagnosis Through Cross-Anatomy Vision Transformers
Zihao Han (University of Kent); Philippe De Wilde (University of kent); Marco Santopietro (University of Kent)
P04Skin Lesion Hybrid Classification and Segmentation based on Extracted Deep Features
Aakaou Aboubakr (University of Malaga); Karl Thurnhofer-Hemsi (University of Malaga); Enrique Dominguez (University of Malaga)
P05Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies
Sarah Costa (Swansea University); Hassan Eshkiki (Swansea University); Fabio Caraffini (Swansea University); Christopher H. George (Swansea University)
P06Robust Windowing Harmonisation for Improved Cross-Scanner Generalisation of White Matter Hypoattenuation Segmentation in Brain CT Clinical Scans
Nada Alamoudi (University of Edinburgh); Maria Valdes Hernandez (University of Edinburgh); Sohan Seth (University of Edinburgh); Joanna Wardlaw (University of Edinburgh); Miguel Bernabeu Llinares (University of Edinburgh)
P07Vision Transformers for Interpreting ECG Diagrams
Jarod Hartley (Swansea University); Jennifer Edwards (Swansea University); Ehinafa Akinola (Swansea University); W. Joseph Macinnes (Swansea University)
P08Categorizing acquisition intervals from whole-brain MEG functional connectivity
Vasiles Balabanis (Swansea University); Jiaxiang Zhang (Swansea University); Xianghua Xie (Swansea University); Su Yang (Swansea University)
P09GPT-Based Pipeline for Structuring 193k Stroke Discharge Reports
Temirgali Aimyshev (Nazarbayev University); Iliyar Arupzhanov (Nazarbayev University); Abduzhappar Gaipov (Nazarbayev University)
P10Interoperability of standardised electronic healthcare records facilitates transfer learning
Elizabeth Remfry (Queen Mary University of London); Rafael Henkin (Queen Mary University of London)
P11Adversarial Registration Method for Non-Rigid Brain MRI and DVF Estimation
Eashrat Jahan Muniya (Austrian Center for Medical Innovation and Technology); Gernot Kronreif (Austrian Center for Medical Innovation and Technology); Ander Biguri (University of Cambridge); Wolfgang Birkfellner (Medical University of Vienna); Sepideh Hatamikia (Danube Private University)
P12Fine-Tuning Open-Source LLMs on Multi-Turn CBT Conversations
Rishabh Balse (University of Cambridge); Sam Nallaperuma-Herzberg (University of Cambridge); Pietro Liò (University of Cambridge)
P13Deep Learning-Based Classification and Segmentation of Diabetic Foot Sole Images as a First Step Towards Pre-ulcerative Lesion Detection
Germán Comina (Universidad Nacional de Ingenieria); Marlon Bustos (Universidad Nacional de Ingenieria); Lucas Taipe (Universidad Nacional de Ingenieria); Sergio Sosa (Universidad Nacional de Ingenieria); Margarita Segovia (Universidad Nacional de Ingenieria); Maria Lazo-Porras (Universidad Peruana Cayetano Heredia); J. Jaime Miranda (University of Sydney)
P14Deep Learning Based Histological Classification of Inflammatory Bowel Disease Samples Derived From Non-Linear Multimodal Imaging
Jawad Kamran (Leibniz IPHT); Thomas Bocklitz (FSU Jena/Leibniz-IPHT)
P15Towards an Empathetic and Meta-Cognitive Digital Therapy Framework
Rishabh Balse (University of Cambridge); Sam Nallaperuma-Herzberg (University of Cambridge); Sonia Koszut (University of Cambridge); Pietro Liò (University of Cambridge); Anna Bevan (University of Cambridge); Tristan Bekinschtein (University of Cambridge)
P16Agentic Reasoning in Vision-Language Models for Rare Brain MRI Analysis: A Multi-Turn Tool-Augmented Approach
Duaa Alim (Imperial College London); Lina Alim (Hillingdon Hospitals NHS Foundation Trust); Liam Chalcroft (University College London)
P17A Pilot Study of a Custom GPT for the 2024 RCOphth Curriculum
William Purcell (Yorkshire and Humber School of Ophthalmology); Vikas Chadha (Yorkshire and Humber School of Ophthalmology); Devina Gogi (Yorkshire and Humber School of Ophthalmology); Vernon Long (Yorkshire and Humber School of Ophthalmology); Aabgina Shafi (Yorkshire and Humber School of Ophthalmology); Yashin Ramkissoon (Yorkshire and Humber School of Ophthalmology)
P18Health Practitioner Credential Fraud: An Emerging Research Opportunity and Critical Challenge
Lauren Herckis (TruMerit Inc.); Emily Tse (TruMerit Inc.)
P19Exploring Hidden Patterns: A Priori Class Labels in Contrastive Learning for Phenotype Discovery
Annina Helmy (University of Bern); Rafael Morand (University of Bern); Markus Schmidt (University of Bern); Claudio L. A. Bassetti (University of Bern); Stavroula Mougiakakou (University of Bern); Athina Tzovara (University of Bern)
P20Does a SARS-CoV-2 Infection Increase the Risk of Dementia? Causal Machine Learning for Predictive Risk Models on Real-World Patient Data
Jannis Guski (Fraunhofer SCAI); Holger Fröhlich (Fraunhofer SCAI)
P21Deep Learning Multi-State Models for Individualized Risk Prediction in Multiple Myeloma
Sebastian Schwick (Fraunhofer SCAI); Shammi More (Fraunhofer SCAI); Holger Fröhlich (Fraunhofer SCAI)
P22Machine learning for automated detection of senescent adipose tissue-derived stem cells
Rana Judeh (University of Sydney); Teng-Hui Huang (University of Sydney); Hesham El Gamal (University of Sydney); Zufu Lu (University of Sydney); Hala Zreiqat (University of Sydney)
P23An Evaluation of Time Series Foundation Models’ on Short Horizon Forecasting With Limited Data
Matt Ploszajski (Swansea University); Gary Tam (Swansea University); Xianghua Xie (Swansea University)