Helene M. Langevin, M.D.
August 19, 2024

Our most recent Integrative Medicine Research Lecture Series (IMLS) presentation highlights the multitude of scientific opportunities that come with leveraging artificial intelligence (AI) and machine learning (ML) to advance our understanding of human health and transform approaches to care. During the lecture, “Harnessing AI To Explore Health Restoration in Diabetes,” Aaron Y. Lee, M.D., M.S.C.I., of the University of Washington provided a compelling vision of how AI/ML can power intriguing exploration of human health along a bidirectional continuum: moving away from or toward health. 

Dr. Lee is a principal investigator of the AI-READI study, funded through the National Institutes of Health (NIH) Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program. During his lecture, he highlighted how AI/ML methods are being used to analyze large clinical datasets to shed new light on precursors and progression of conditions like dementia, macular degeneration, heart disease, and diabetes. He highlighted how his team is working to include participants from all communities and to collect diverse data types, to root out bias that can be introduced or amplified using AI/ML.