Building AI Datasets for the Future of AI in Vision Research

Join the National Eye Institute's Office of Data Science and Health Informatics (ODSHI) for their upcoming event, Building AI Datasets for the Future of AI in Vision Research. Part of the NIH Common Fund’s Bridge2AI program, Dr. Aaron Lee (University of Washington) will discuss his flagship project, AI-READI (Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights), a groundbreaking and ethically-sourced dataset enabling artificial intelligence/machine learning (AI/ML) research to uncover critical insights into type 2 diabetes mellitus (T2DM) and pathways to health. The event will offer opportunities for dialogue with Dr. Lee and ask for audience input on future topics of interest.

Speaker:

Aaron Y. Lee, MD, MSCI: Aaron Lee is an associate professor and vitreoretinal surgeon at University of Washington, Department of Ophthalmology, and the recent recipient of the C. Dan and Irene Hunter Endowed Professorship. He completed his undergraduate at Harvard University and his medical training at Washington University in St Louis. He chairs the American Academy of Ophthalmology Information Technology Steering Committee. He currently serves as an Associate Editor for both Translational Vision Science and Technology and Ophthalmology Science, and on the Editorial Board for the American Journal of Ophthalmology and Nature Scientific Reports. He has published over 175 peer-reviewed manuscripts and is known as a leader in the field of artificial intelligence and ophthalmology. Aaron Lee' s research is focused on the translation of novel computation techniques in machine learning to uncover new disease associations and mechanisms from routine clinical data including electronic health records and imaging.

Series Description:

The NEI Office of Data Science and Health Informatics (ODSHI) cordially invites you to join us for an engaging series of lecture events and dialogues throughout 2024. These gatherings will showcase esteemed experts from academia, industry, non-profits, government sectors, and others who will delve into their cutting-edge work on topics at the intersections of health informatics and data for vision science. Unlike conventional seminars, this series offers interactive sessions that encourages dialogue among audience members and with expert speakers. Embracing a diverse spectrum of topics, these events will highlight the breadth of ongoing research, the pertinent gaps and challenges therein, and the promising opportunities on the horizon.

Accommodations:

If you are an individual with a disability who needs reasonable accommodations to participate in this event, please send an email with your request to the Office of Data Science and Health Informatics at neiodshi@nih.gov at least 3 days prior to the event.