Michael F. Chiang, M.D.

Adjunct Investigator

NLM Intramural Research Program

NLM

Director

NEI

Building 31, Room 6A03
31 Center Drive
Bethesda, MD 20892

301-496-5248

michael.chiang@nih.gov

Research Topics

By background, he is a pediatric ophthalmologist and is also board-certified in clinical informatics. He is an Adjunct Investigator at the National Library of Medicine, and his group has published over 250 peer-reviewed papers and developed an assistive artificial intelligence system for ROP that received Breakthrough Status from the U.S. Food and Drug Administration.

Biography

Michael F. Chiang is Director of the National Eye Institute and an Adjunct Investigator at the National Library of Medicine. He is board-certified in ophthalmology and clinical informatics, and his research focuses on retinopathy of prematurity (ROP), telehealth, artificial intelligence, electronic health records, data science, and genotype-phenotype correlation.

Dr. Chiang began at NIH in November 2020. He serves as Chair of multiple NIH-wide committees and working groups involving data science, AI, imaging, and clinical research. He is a member of the NIH-FDA Joint Leadership Council, and has been appointed as the HHS representative on the Health Information Technology Advisory Committee of the US Office of the National Coordinator of Health IT. He is an Adjunct Investigator at the National Library of Medicine, and his group has published over 300 peer-reviewed papers and developed an assistive artificial intelligence system for ROP that received Breakthrough Status from the U.S. Food & Drug Administration. He is an elected member of the National Academy of Medicine.

Before coming to NIH, he received a BS in Electrical Engineering and Biology from Stanford University, an MD from Harvard Medical School and the Harvard-MIT Division of Health Sciences and Technology, and an MA in Biomedical Informatics from Columbia University. He completed residency and pediatric ophthalmology fellowship training at the Johns Hopkins Wilmer Eye Institute. Between 2001-2010, he worked at Columbia University, where he was Anne S. Cohen Associate Professor of Ophthalmology & Biomedical Informatics, director of medical student education in ophthalmology, and director of the introductory graduate student course in biomedical informatics. From 2010-2020, he worked at Oregon Health & Science University (OHSU), where he was Knowles Professor of Ophthalmology & Medical Informatics and Clinical Epidemiology, and Associate Director of the Casey Eye Institute.

Selected Publications

  1. Goetz KE, Reed AA, Chiang MF, Keane T, Tripathi M, Ng E, Nguyen T, Eydelman M. Accelerating Care: A Roadmap to Interoperable Ophthalmic Imaging Standards in the United States. Ophthalmology. 2024;131(1):12-15.
  2. Coyner AS, Murickan T, Oh MA, Young BK, Ostmo SR, Singh P, Chan RVP, Moshfeghi DM, Shah PK, Venkatapathy N, Chiang MF, Kalpathy-Cramer J, Campbell JP. Multinational External Validation of Autonomous Retinopathy of Prematurity Screening. JAMA Ophthalmol. 2024;142(4):327-335.
  3. Coyner AS, Singh P, Brown JM, Ostmo S, Chan RVP, Chiang MF, Kalpathy-Cramer J, Campbell JP, Imaging and Informatics in Retinopathy of Prematurity Consortium. Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images. JAMA Ophthalmol. 2023;141(6):543-552.
  4. Li X, Owen LA, Taylor KD, Ostmo S, Chen YI, Coyner AS, Sonmez K, Hartnett ME, Guo X, Ipp E, Roll K, Genter P, Chan RVP, DeAngelis MM, Chiang MF, Campbell JP, Rotter JI, i-ROP Consortium. Genome-wide association identifies novel ROP risk loci in a multiethnic cohort. Commun Biol. 2024;7(1):107.
  5. Jin Q, Chen F, Zhou Y, Xu Z, Cheung JM, Chen R, Summers RM, Rousseau JF, Ni P, Landsman MJ, Baxter SL, Al'Aref SJ, Li Y, Chen A, Brejt JA, Chiang MF, Peng Y, Lu Z. Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. NPJ Digit Med. 2024;7(1):190.

Related Scientific Focus Areas

This page was last updated on Friday, September 11, 2026