AI, data science, and medical care – Perspectives from the National Eye Institute
April 7 @ 12:30 pm – 2:00 pm
Tuesday, April 7 from 12:30 – 2 p.m.
Minsky Recital Hall and on YouTube
Clinical practice and research are rapidly evolving due to advances in artificial intelligence and data science. This talk highlights efforts at the National Eye Institute to address these changes and shares lessons for the broader scientific and medical communities. Topics include an overview of NEI, the potential of imaging and AI to improve care (with pediatric retinal disease as an example), key challenges to adoption and NIH initiatives to address them, and emerging trends shaping the future of clinical care, research, and education.
About the speaker
Dr. 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.
About the workshop
This distinguished lecture is presented by the University of Maine’s Office of the Vice President for Research and Maine College of Engineering and Computing. The University of Maine System is an equal opportunity institution committed to nondiscrimination.
