|
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.
|
