Clinical Realities and Future Trends of Glaucoma AI

李飛 Fei LiChina Speaker Clinical Realities and Future Trends of Glaucoma AIArtificial intelligence (AI) is transforming glaucoma care, driving significant breakthroughs in screening, diagnosis, and risk assessment. This presentation will highlight recent advances in deep learning applied to fundus imaging, OCT, and visual field analysis, drawing on evidence from multicenter studies and real-world applications. Despite this rapid progress, major challenges remain—including data quality, limited interpretability, and barriers to integration into clinical practice. The talk will provide a detailed explanation of contemporary AI limitations and their underlying mechanisms, and will reflect on future directions to address these challenges. It will offer insights into both the potential and the limitations of current glaucoma AI, as well as practical steps needed to bridge the gap between research and real-world impact. Beyond clinical diagnosis and management, the presentation will also discuss the extended use of AI in glaucoma research, such as drug discovery and patient education.