You are invited to join us for this special session focused on the application of artificial intelligence in ophthalmology and vision science. Machine learning is playing an increasingly important role in retinal disease diagnosis, management, treatment, and progression. This session is aimed at medical image and data analysis of the retina using the latest approaches in artificial intelligence, with a special emphasis on disease management and clinical/translational applications, including examples from retinopathy of prematurity, age-related macular degeneration, glaucoma, and others.
• Cecilia Lee, University of Washington
• Hiroshi Ishikawa, Oregon Health & Science University
• J. Peter Campbell, Oregon Health & Science University
• Michael Abramoff, Digital Diagnostics
• Jessica I. W. Morgan, University of Pennsylvania
• Yue Wu, University of Washington
This special session is being hosted by the Clinical Vision Sciences Technical Group, the Color Technical Group, and the Applications of Visual Science Technical Group along with the Fall Vision Meeting Planning Committee.