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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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Prompt Injection is All You Need: A Framework for Evaluating Healthcare Misinformation in LLMs Zad Chin (Harvard University) |
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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) |
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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 |
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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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) |
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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)) |
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Multi-Modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer Classification Charalambos Chrysostomou (The Cyprus Institute); Constantine Dovrolis (The Cyprus Institute) |
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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) |
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Decoding the Stressed Brain with Geometric Machine Learning Sonia Koszut (University of Cambridge); Sam Nallaperuma-Herzberg (University of Cambridge); Pietro Lio (University of Cambridge) |
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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) |
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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) |
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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) |
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A protocol for analysing ankle motion data: a standardized approach to kinematic assessment Giovanni Mastrangelo (University of Rome Tor Vergata) |
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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) |
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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) |
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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) |
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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) |
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16:00-16:20 | Best Poster Prize & Closing remarks | Elena Hall |
POSTER SESSION ONE – MONDAY
P01 | Feature 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) |
P02 | Automated 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) |
P03 | Ensemble 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) |
P04 | Knowledge 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) |
P05 | MICA: 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) |
P06 | Markers 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) |
P08 | Affective State and Pain Estimation through Facial Emotion Analysis Christine Asaju (University of Johannesburg); Hima Vadapalli (University of Johannesburg) |
P09 | Concept 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) |
P10 | AI 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) |
P11 | Constrained 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) |
P12 | Adapting self-attention algorithms to chemogenomic spaces to predict antimicrobial resistance and accelerate antibiotic discovery Diana Martynova (Zacodi Labs) |
P13 | Ethical 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) |
P14 | Machine 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) |
P15 | Applying Machine Learning to Natural Product Chemical Space David Ntim (Duke University); James Carter (Duke University); Amy Chung (Duke University); Daniel Reker (Duke University) |
P16 | The 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) |
P17 | Revealing Cancer Patients’ Real-World Daily Life Concerns via Large Language Models Jiyoon Han (Samsung Medical Center); Mangyeong Lee (Sungkyunkwan University); Juhee Cho (Sungkyunkwan University) |
P18 | AI-Based Enhancement of 4D Flow MRI for Hemodynamic Assessment in Bicuspid Aortic Valve Houriehsadat Jamalidinan (University of Calgary); Julio Garcia (University of Calgary) |
P19 | Sandbagging in AI as Medical Devices: Patient Safety and Liability Risks Eugenia Forte (United Lincolnshire Hospitals Trust) |
P20 | Surgical Scene Understanding using Context Prompting for Multimodal Large Language Models Jamie Clements (University of Stirling); Hazrat Ali (University of Stirling) |
P21 | Exploring 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) |
P22 | Prompt-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) |
P23 | Chimera: 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) |
P24 | Multi-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
P01 | Exploring 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) |
P02 | Physicochemical-Based Deep Learning for Allergenicity Prediction Charalambos Chrysostomou (The Cyprus Institute) |
P03 | GNN’s Uncertainty Quantification using Self-Distillation Hirad Daneshvar (Toronto Metropolitan University); Reza Samavi (Toronto Metropolitan University) |
P04 | A 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) |
P05 | Leveraging Pretrained Language Models for Maternal Health Monitoring in Online Communities Zhen Zhu (University of Kent) |
P06 | Investigating 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) |
P07 | Unmasking the Algorithm: Bridging Innovation and Ethics in AI-Enabled Psychological Care Chen Hascalovitz (University of Ottawa); Raywat Deonandan (University of Ottawa) |
P08 | Development 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) |
P09 | A 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) |
P10 | Coding Care: Care Ethics and Technical Practices in AI Mental Health Applications Meiting Wang (university of Auckland) |
P11 | SARHAchat: 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) |
P12 | Conferences as a Tool for Increasing Medical AI Literacy: A Before and After Study Abdel Rahman Osman (NHS); Nafisa Islam (NHS); Laveinia Godfrey (NHS) |
P13 | A 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) |
P14 | Towards 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) |
P15 | Artificial 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) |
P16 | Speech 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) |
P17 | Frontline Clinical Diagnosis – FTIR on Pancreatic Cancer Deb Roy (Swansea University) |
P18 | Integrating 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) |
P19 | DECODE: 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) |
P20 | Predicting 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) |
P21 | Rapid 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) |
P22 | Detecting muscle activation in surface electromyography Niloofar Beyki (University of Rome Tor Vergata); Luca Molinaro (Sensor Medica srl); Matteo Russo (University of Rome Tor Vergata) |
P23 | Body-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
P01 | Robustness 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) |
P02 | A 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) |
P03 | Domain-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) |
P04 | Skin 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) |
P05 | Enhancing 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) |
P06 | Robust 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) |
P07 | Vision Transformers for Interpreting ECG Diagrams Jarod Hartley (Swansea University); Jennifer Edwards (Swansea University); Ehinafa Akinola (Swansea University); W. Joseph Macinnes (Swansea University) |
P08 | Categorizing acquisition intervals from whole-brain MEG functional connectivity Vasiles Balabanis (Swansea University); Jiaxiang Zhang (Swansea University); Xianghua Xie (Swansea University); Su Yang (Swansea University) |
P09 | GPT-Based Pipeline for Structuring 193k Stroke Discharge Reports Temirgali Aimyshev (Nazarbayev University); Iliyar Arupzhanov (Nazarbayev University); Abduzhappar Gaipov (Nazarbayev University) |
P10 | Interoperability of standardised electronic healthcare records facilitates transfer learning Elizabeth Remfry (Queen Mary University of London); Rafael Henkin (Queen Mary University of London) |
P11 | Adversarial 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) |
P12 | Fine-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) |
P13 | Deep 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) |
P14 | Deep 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) |
P15 | Towards 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) |
P16 | Agentic 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) |
P17 | A 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) |
P18 | Health Practitioner Credential Fraud: An Emerging Research Opportunity and Critical Challenge Lauren Herckis (TruMerit Inc.); Emily Tse (TruMerit Inc.) |
P19 | Exploring 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) |
P20 | Does 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) |
P21 | Deep Learning Multi-State Models for Individualized Risk Prediction in Multiple Myeloma Sebastian Schwick (Fraunhofer SCAI); Shammi More (Fraunhofer SCAI); Holger Fröhlich (Fraunhofer SCAI) |
P22 | Machine 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) |
P23 | An 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) |