

AI and Clinical Practice—Discovery and Scaling Findings From Large, Multicenter Health Care Datasets
Jan 24, 2024
Atul Butte, Director of the Bakar Computational Health Sciences Institute at UCSF, discusses using AI to democratize healthcare, utilizing large datasets for comparative effectiveness research, ensuring patient data privacy, improving healthcare outcomes through data analysis, and addressing the risks of AI language model extrapolation.
Chapters
Transcript
Episode notes
1 2 3 4 5
Introduction
00:00 • 2min
Harnessing Data in Healthcare for Comparative Effectiveness Research
01:33 • 5min
Patient Data Privacy and Use of De-Identified Data in Health Systems
06:42 • 2min
Utilizing Patient Data for Improving Healthcare
09:03 • 10min
Cautionary Note on AI Language Model Extrapolation
19:25 • 2min