Michael 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. By background, he is a pediatric ophthalmologist and is also board-certified in clinical informatics. His research focuses on the interface of biomedical informatics and clinical ophthalmology in areas such as retinopathy of prematurity (ROP), telehealth, artificial intelligence, electronic health records, data science, and genotype-phenotype correlation. 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.

Dr. Chiang began at NIH in November 2020. He serves as Co-Chair of a trans-NIH working group for high value data asset sustainability, Chair of a trans-NIH clinical trials infrastructure working group, Co-Chair of a trans-NIH medical imaging working group, Co-Chair of the NIH AIM-AHEAD advisory committee, and Co-Chair of the NIH Common Fund Bridge2AI program. He is a member of the NIH Scientific Data Council. 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. He co-directed an NIH-funded T32 training program in visual science for graduate students and research fellows, as well as an NIH-funded K12 clinician-scientist program at OHSU.

He previously served as a member of the American Academy of Ophthalmology (AAO) Board of Trustees, Chair of the AAO IRIS Registry Data Analytics Committee, Chair of the AAO Task Force on Artificial Intelligence, Chair of the AAO Medical Information Technology Committee, and on numerous other national and local committees. He currently serves as an Associate Editor for the Journal of the American Medical Informatics Association and on the Editorial Board for Ophthalmology and the Asia-Pacific Journal of Ophthalmology, and is Associate Editor of the textbook Biomedical Informatics: Computer Applications in Health Care and Biomedicine. He has previously served as an Associate Editor for the Journal of the American Association for Pediatric Ophthalmology and Strabismus and on the Editorial Board for Ophthalmology Retina.

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 Thursday, September 12, 2024