14.30 — David Merle, Ariel Ong: Introduction - Why AI Literacy Matters

14.40 — Justin Engelmann: A Technical Perspective on AI For The Clinician

15.00 — Ariel Ong: How to Read and Critique a Clinical AI Paper

15.20 — David Merle: Skills for the Future Retina Specialist – De-Skilling and New Competencies

15.40 — Mertcan Sevgi: Working With AI (Human–AI Collaboration)

16.00 — All Speakers: Q&A and Demo

16.15 — End of Session

16:30

16.30 — Jean-Francois Korobelnik: OCT Images of the Macula in the Epidemiological Study ALIENOR: First Results

16.36 — Catherine Egan: Solving Blindness Due to Diabetes With AI: If Not Now, When?

Poster Presentations:

16.42 — Irati Arenzana: Predictive Modelling of Cardiovascular Risk Factors Using OCT and Fundus Images With Deep Learning Techniques

16.45 — Fiammetta Catania: Deep Learning for Prediction of Late Recurrence of Retinal Detachment Using Preoperative and Postoperative Ultra-wide Field Imaging

16.48 — Stefina Dominic: Evaluation of Injection Burden Compared to Discharge Status for Faricimab, Aflibercept (2mg/8mg), and Ranibizumab-biosimilar Using Ai-based Clinical Analytics

16.51 — Oliver Leingang: Topographic Forecasting of Geographic Atrophy Progression From OCT-derived Retinal Biomarker Maps Using a Neural ODE Framework

16.54 — Ariel Ong: Association of Reticular Pseudodrusen Burden and Dark Adaptation in Age-related Macular Degeneration

16.57 — Andrea Olenik Memmel: Effectiveness of a Hybrid Artificial Intelligence–Human Teleophthalmology Screening System Using Portable Fundus Imaging in Underserved Rural Populations

17.00 — Tunde Peto: Why Bigger is Not Always Better: How Choosing the Right Data and Computation Can Enable Effective AI

17.03 — Andreas Pollreisz: Evaluation of Multimodal Large Language Models for Visual Understanding of Retinal Optical Coherence Tomography Scans

17.06 — Jordan Reed: A Scoping Review of the Use of Artificial Intelligence Models in OCT Analysis and Prediction of Postoperative Outcomes After Surgery for Idiopathic Epiretinal Membrane

17.09 — Inès Schumacher: Transfer Learning with RETFound for Retinal Capillary Haemangioma Detection

17.12 — Robbert Struyven: Deep Learning-Enabled Choroidal Segmentation Identifies AMD Stage-Dependent Choroidal Thinning

17.15 — Discussion

17.30 — Session End

09.00 — Gregor Reiter: Predicting and Managing Atrophy and Fibrosis Development in n AMD using AI

09.08 — Philippe Valmaggia: Predictive Modeling of AMD Progression

09.16 — Anat Loewenstein: AI in Home OCT

09.24 — Roy Schwartz: AI Tools to Monitor Geographic Atrophy

09.32 — Niko Pontikos: AI in IRDs

09.40 — Discussion

10:20

10:50

11:20

11.20 — Clarisa Sanchez: LLM: Overview and Definition

11.28 — Ariel Ong: LLM in Retinal Research: Opportunities and Limits

11.36 — Stanislao Rizzo: LLM for Accurate Guidance for Retinal Detachment Surgery

11.44 — Rodrigo Anguita: LLM for Decision Making in Macular Hole Surgery

11.52 — Martin Zinkernagel: LLM in Clinical Workflow

12.00 — Discussion

12:20

12:45

13:45

Faculty includes:

13.45 — Anca del Río, SWITZERLAND (World Health Organization)
‘Turning Barriers Into Bridges: Advancing Innovation in Healthcare’

13.53 — Jeffry Hogg, UK (Clinician Scientist MSc AI Implementation, Healthcare)
‘Data Governance Considerations for AI-Enabled Retina Services’

14.01 — Arnim Malcherek, GERMANY
‘AI-Supported Image Generation as a Means of Data Autonomy’

14.09 — Niklas Lidströmer
‘Using Ambient AI Scribes in European Clinical Settings: Evidence, Barriers & Next Step’

14.17 — Stela Vujosevic, ITALY
AI for Clinical Trials in Retinal Diseases

14.25 — Discussion

14:45

14.45 — Robert E. MacLaren: Robot- Assisted Retinal Surgery

14.53 — Mohammad Ali Nasseri: AI-Guided Surgical Planning in Retinal Disorders

15.01 — Ivo Declerck: Robotics in Vitreoretinal Surgery: AI Integration

15.09 — Rebekka Peter: AI for Intraoperative Decision Making

15.17 — Marc de Smet: Future Directions of Robotics and AI in Retinal Surgery

15.25 — Discussion

15:45

16:00

16:15

16.15 — Daniel Ting: Impact of Screening and Risk Prediction of Diabetic Retinopathy

16.23 — Adnan Tufail: AI Algorithms for Mass Deployment: Outcomes of Head-to-Head Study for DR Detection

16.31 — Edoardo Midena: AI in Diabetic Macular Edema: The Precision Medicine Approach

16.39 — Darius Moshfegi: AI in Retinopathy of Prematurity

16.47 — Mattia Tomasoni: Employing AI in Exploring the Retinal Vasculature and its Relation to Systemic Disease

16.55 — Discussion