Ophthalmology

AI & Big Data in Ophthalmology

Artificial Intelligence (AI) and big data are rapidly transforming ophthalmology, offering groundbreaking solutions for early diagnosis, disease monitoring, and treatment planning. AI-powered tools like deep learning algorithms now assist in detecting conditions such as diabetic retinopathy, glaucoma, and age-related macular degeneration with high accuracy. Big data analytics enables the integration of massive patient datasets to identify disease patterns, predict outcomes, and support evidence-based decisions. This track will explore the practical application of AI in clinical workflows, challenges in algorithm training, data privacy concerns, and future opportunities. Industry leaders and researchers will present case studies on machine learning in fundus imaging, AI-assisted OCT analysis, and predictive modeling for vision loss. Hands-on sessions will offer attendees exposure to the latest software tools and diagnostic platforms. Attendees will also examine how AI is improving patient triage in teleophthalmology and screening programs, particularly in underserved regions. This session will empower participants with the knowledge and tools needed to embrace the digital transformation of ophthalmic care and elevate patient outcomes through intelligent data use.