Building Bridges Across Sciences and Humanities to Preserve Vision

Description: Primary open-angle glaucoma is a leading cause of blindness, yet its underlying mechanisms remain unclear. This lecture explores the role of vascular risk factors in disease onset and progression, introducing novel imaging technologies and hemodynamic biomarkers for diagnosis and monitoring.

The presentation will highlight the integration of mathematical modeling, machine learning (ML), and artificial intelligence (AI) to enhance glaucoma risk prediction and improve diagnostic accuracy. Cutting-edge findings will demonstrate how combining AI and non-invasive imaging tools like optical coherence tomography angiography (OCTA) can revolutionize disease detection and monitoring.

The lecture will also showcase how ocular imaging, paired with AI, serves as a “window to the body,” aiding in early detection of systemic conditions such as hypertension and cardiovascular disease. Examples include the FDA-cleared “AEYE solution” for diabetic retinopathy and its innovative application to predict blood pressure from retinal images.

Finally, the session will explore the “AI revolution,” featuring pioneering smartphone apps for glaucoma diagnosis and management. These advancements illustrate the transformative potential of AI-driven tools for early detection, personalized medicine, and comprehensive ocular and systemic health monitoring.