Neepa Shah
Papers
1
Total Citations
95
H-Index
1
About
Dr. Neepa Shah is a leading researcher in the application of artificial intelligence to ophthalmology, with a primary focus on diabetic retinopathy screening and autonomous diagnostic systems. Her most impactful contribution is the landmark 2019 prospective clinical trial of the IDx-DR system, which demonstrated that an autonomous AI could accurately detect diabetic retinopathy in primary care settings without the need for specialist interpretation. This pivotal study, cited over 95 times, was the first of its kind to receive FDA approval for an autonomous AI diagnostic system, fundamentally changing the landscape of diabetic eye care by enabling point-of-care screening. Dr. Shah’s work has been instrumental in bridging the gap between advanced AI technology and real-world clinical implementation, particularly for underserved populations. Her research has helped validate the safety and efficacy of AI-driven diagnostics, reducing barriers to early detection of vision-threatening disease. Through this groundbreaking achievement, Dr. Shah has established herself as a key figure in the integration of autonomous systems into routine medical practice, with lasting implications for global public health and the future of telemedicine.
Research Focus
Key Achievements
Top Papers
- 1