Technical Event
Pascal Rol Keynote Address
28 January 2023 • 11:30 AM - 12:30 PM PST | Moscone Center, Room 301 (Level 3 South)
The Pascal Rol keynote presentation was established to promote the exchange of ideas between clinicians with a technological need and engineers interested in solving problems in ophthalmology. The invited lecture is sponsored by the Pascal Rol Foundation.
11:30 AM - 11:45 AM: Introduction
Daniel X. Hammer, U.S. Food and Drug Administration (United States)
11:45 AM - 12:30 AM: Artificial intelligence and data science in ophthalmology: Perspectives from the National Eye Institute
Michael F. Chiang, National Eye Institute (USA)
Remarkable advances in imaging, computation, and technology are rapidly moving us into an era where knowledge discovery is increasingly limited only by creativity. This is creating unprecedented opportunities to improve the diagnosis and treatment of ophthalmic disease. This talk will discuss challenges and opportunities involving artificial intelligence and data science in ophthalmology research and applications to clinical care. Specific examples will be given from the speaker’s perspective as an investigator in this area and as Director of the National Eye Institute (NEI), which directs and funds vision research in the United States. This will include discussion of challenges in the accuracy and process of ophthalmic diagnosis, as well as insights and gaps in knowledge regarding artificial intelligence research in ophthalmology. It will conclude with discussion of current NEI priorities including data sharing, data harmonization, data generation, medical education in informatics and data science, methodological innovation, and population health.
Michael F. Chiang is Director of the National Eye Institute, at the National Institutes of Health. 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 telehealth, artificial intelligence, electronic health records, and data science. 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. Before coming to NIH, he worked at Oregon Health & Science University (OHSU) from 2010-2020, where he was Knowles Professor of Ophthalmology & Medical Informatics and Clinical Epidemiology, and Associate Director of the Casey Eye Institute. Between 2001-2010, he worked at Columbia University, where he was Anne S. Cohen Associate Professor of Ophthalmology & Biomedical Informatics.
11:30 AM - 11:45 AM: Introduction
Daniel X. Hammer, U.S. Food and Drug Administration (United States)
11:45 AM - 12:30 AM: Artificial intelligence and data science in ophthalmology: Perspectives from the National Eye Institute
Michael F. Chiang, National Eye Institute (USA)
Remarkable advances in imaging, computation, and technology are rapidly moving us into an era where knowledge discovery is increasingly limited only by creativity. This is creating unprecedented opportunities to improve the diagnosis and treatment of ophthalmic disease. This talk will discuss challenges and opportunities involving artificial intelligence and data science in ophthalmology research and applications to clinical care. Specific examples will be given from the speaker’s perspective as an investigator in this area and as Director of the National Eye Institute (NEI), which directs and funds vision research in the United States. This will include discussion of challenges in the accuracy and process of ophthalmic diagnosis, as well as insights and gaps in knowledge regarding artificial intelligence research in ophthalmology. It will conclude with discussion of current NEI priorities including data sharing, data harmonization, data generation, medical education in informatics and data science, methodological innovation, and population health.
Michael F. Chiang is Director of the National Eye Institute, at the National Institutes of Health. 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 telehealth, artificial intelligence, electronic health records, and data science. 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. Before coming to NIH, he worked at Oregon Health & Science University (OHSU) from 2010-2020, where he was Knowles Professor of Ophthalmology & Medical Informatics and Clinical Epidemiology, and Associate Director of the Casey Eye Institute. Between 2001-2010, he worked at Columbia University, where he was Anne S. Cohen Associate Professor of Ophthalmology & Biomedical Informatics.