false
OasisLMS
zh-CN,zh-TW,en,fr,de,hi,ja,ko,pt,es
Catalog
AI in Healthcare Virtual Summit Session Recordings
Keynote Topic Q&A
Keynote Topic Q&A
Back to course
[Please upgrade your browser to play this video content]
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
×