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.

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All Publications