Primary angle closure glaucoma (PACG), a common cause of permanent vision loss worldwide, is a visually devastating but mostly preventable form of glaucoma. In his lecture, Dr. Benjamin Xu will share recent advances in early detection and prevention of PACG using optical coherence tomography (OCT) and artificial intelligence (AI). First, he will describe recent research using nationwide electronic health care data to identify deficiencies in angle closure care and disparities in PACG outcomes. He will also present a recent landmark study highlighting the limitations of current clinical methods for identifying high-risk individuals. Finally, Dr. Xu will discuss recent scientific advances combining OCT imaging and AI to develop novel angle closure detection and risk stratification methods to overcome existing clinical limitations.

Dr. Benjamin Xu received his B.S. from Yale University and M.D. and Ph.D. in neuroscience from Columbia University. He then completed his ophthalmology residency at the Los Angeles General Medical Center/USC Roski Eye Institute and glaucoma fellowship at the University of California San Diego Shiley Eye Institute under the mentorship of Dr. Robert N. Weinreb. He is now Chief of the Glaucoma Service at the USC Roski Eye Institute. 

Dr. Xu's NIH-funded research focuses on developing new diagnostic tools to detect and care for patients with glaucoma using optical coherence tomography imaging and artificial intelligence. He also studies the impact of glaucoma on patient populations and health care systems worldwide using epidemiological and electronic health care data and devises new strategies to deliver more efficient and effective glaucoma care. 

This webinar will be captioned in real time. Individuals needing reasonable accommodations should email Prevention@nih.gov. Requests should be made at least 5 business days before the event. 

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