Assistant Professor
AI tools for glaucoma diagnosis and management
Glaucoma is a leading cause of blindness worldwide. Early diagnosis and intervention is key to preserving vision. Population wide screening of glaucoma is currently unattainable due to limited glaucoma care resources. The Shan lab thus aims to develop biomimetic AI architectures to empower accurate and scalable disease screening methods. The Shan lab is also interested in extracting information from medical images beyond what human experts may be able to recognize and using that information to improve glaucoma management.
To Learn More:
https://profiles.ucsf.edu/jing.shan
Research Areas:
Deep Learning / AI, Glaucoma
Learn more about UCSF Ophthalmology faculty research.