AI in Healthcare Virtual Summit Session Recordings-Keynote Topic Q&A

Video Transcription

Video Summary

The session, led by endocrinologist Dr. Marcelo Corrêa, centered on the integration of AI in medical fields, highlighting the potential benefits and future challenges. Key discussions included harmonizing data across medical systems to reduce bias, and using AI in nutrition, especially concerning continuous glucose monitoring (CGM) and proteomics. Emphasis was placed on training medical professionals in AI technology for better patient safety and incorporation into medical training programs. The conversation touched on the current regulatory landscape, which lags behind technological advancements, emphasizing the need for smoother integration of AI in clinical settings. Large language models in electronic health records (EHRs) were also explored, with emphasis on ensuring patients are informed when AI influences their care. Participants discussed AI's role in improving sports medicine performance through personalized health data, like VO2 max and nutrition, indicating an ongoing shift towards precision wellness and sports performance analytics.

Asset Subtitle

Evan D. Muse, MD, PhD, FACC, FAHA
Associate Clinical Professor and Associate Program Director
MCTI Scripps Research Translational Institute

Keywords

AI in medicine

continuous glucose monitoring

medical training programs

regulatory landscape

precision wellness


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