AI and Digital Ophthalmology examines how artificial intelligence, data science, telemedicine, and connected technologies are transforming eye care. The session includes machine learning, automated screening, image analysis, clinical decision support, remote monitoring, digital workflows, health-data integration, and responsible implementation of emerging digital tools.
Abstract Scope and Participation
Abstracts may cover AI algorithms, machine learning, automated diagnostics, teleophthalmology, digital platforms, predictive modeling, clinical validation, implementation, ethics, and responsible AI. Ophthalmologists, data scientists, engineers, researchers, clinicians, technology developers, and digital-health professionals are invited to contribute.







Title : Lenadogene nolparvovec gene therapy in leber hereditary optic neuropathy
Magali Taiel, GenSight Biologics, France
Title : Stereotactic radiotherapy for wet age-related macular degeneration: year 4 results of a randomised, double-masked, sham-controlled trial
Tim Jackson, King’s College London, United Kingdom