Fellowship Program Co-Directors: Louis R. Pasquale, MD, FARVO, Tania Tai, MD, and Alon Harris, MS, PhD, FARVO
Participating Faculty: Louis R. Pasquale, MD, FARVO, Tania Tai, MD, Alon Harris, MS, PhD, FARVO, and Richard Rosen, MD, FARVO
Length of Program: 1 year
Fellowship Positions: 1

Residents accepted into New York Eye and Ear Infirmary of Mount Sinai’s (NYEE) one-year Ophthalmic AI Clinical and Research Fellowship will concentrate on cultivating experience in artificial intelligence (AI) and machine learning, particularly in developing innovative AI applications for ophthalmology.  Simultaneous hands-on clinical experience will be an essential part of the curriculum so that the fellow can gain a proper perspective on how AI can close knowledge gaps in clinical care. The objective of the fellowship is to combine clinical expertise with advanced technical skills to pioneer new ophthalmic diagnostics and research approaches. The mission is to train ophthalmologists who will serve as a bridge between clinicians and available AI expertise.

Special attention will be devoted to leveraging leading-edge imaging technologies, including the tear film analyzer, visual field tests, Doppler holography, optical coherence tomography (OCT), OCT angiography, adaptive optics, retinal oximetry, and quantitative auto-fluorescence as applied to appropriate ophthalmic diseases. Core competency in using and interpreting these diagnostic tools during the training year is a prerequisite for applying AI algorithms for these imaging modalities.  

Furthermore, the fellow will have a major role in working with residents, other clinical fellows, and clinical researchers in The Barry Family Center for Ophthalmic Artificial Intelligence and Human Health and the Windreich Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai. The fellow will have the opportunity to participate in ongoing clinical research studies and initiate their own AI projects.

Application Requirements

New York Eye and Ear Infirmary of Mount Sinai seeks to attract a diverse group of individuals who are committed to developing a deep understanding of new ophthalmic diagnostics and research approaches using artificial intelligence and machine learning. Interviews are conducted by invitation only.

To be considered for the fellowship, candidates must have completed or be enrolled in and graduating from a residency program in the United States or Canada and be board-eligible.

NYEE’s Ophthalmic AI Clinical and Research Fellowship program participates in the Fellowship Matching Program sponsored by the Association of University Professors of Ophthalmology. To receive further information, contact the San Francisco Fellowship Matching Program at www.sfmatch.org.

Applicants should submit:

• Completed SF Match Central Application Service (CAS) Form
• Three letters of reference
• One published paper as a supplement