Bio
Dr. Keet is an award-winning medical educator and hospitalist at the Palo Alto VA and Stanford University Hospitals, where he serves as Associate Program Director for the Internal Medicine residency. His clinical practice is grounded in a commitment to empathetic, patient-centered care, and he brings that same orientation to his work with trainees, helping residents develop the clinical reasoning and humanism that define excellent internists. His scholarly interests sit at the intersection of medical education and artificial intelligence, with a particular focus on how physicians can be prepared to use AI tools thoughtfully while preserving the cognitive skills and human judgment that patients depend on.
Clinical Focus
- Internal Medicine
Academic Appointments
-
Clinical Assistant Professor, Medicine
Professional Education
-
Board Certification: American Board of Internal Medicine, Internal Medicine (2023)
-
Residency: UCSF Dept of Internal Medicine (2010) CA
-
Medical Education: University of Vermont College of Medicine (2007) VT
Clinical Trials
-
Teaching Doctors in Training to Reason With Artificial Intelligence
Not Recruiting
The purpose of the TEACH-AI study is to assess whether a brief, structured workshop on artificial intelligence can improve the performance of medicine doctors in training (i.e. residents) in their diagnostic and management reasoning. In this multi-site randomized controlled trial, internal medicine and family medicine residents are assigned either to receive an in-person workshop on safe, effective LLM use before a standardized AI-assisted assessment, or to complete the same assessment before receiving the workshop. Residents will review clinical cases that are fully synthetic, no protected health information is used, using a password protected LLM interface.
Stanford is currently not accepting patients for this trial. For more information, please contact Kevin Keet, MD, 650-498-4559.
All Publications
-
From iPatient to Ai-Patient: a responsibility to medical education.
BMJ digital health & AI
2026; 2 (1): f000082
View details for DOI 10.1136/bmjdh-2026-000082
View details for PubMedID 42712307
View details for PubMedCentralID PMC13492545
-
Comparing IM Residency Application Personal Statements Generated by GPT-4 and Authentic Applicants.
Journal of general internal medicine
2024
View details for DOI 10.1007/s11606-024-08784-w
View details for PubMedID 38689120
View details for PubMedCentralID 10589311