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Teaching Doctors in Training to Reason With Artificial Intelligence

Study acronym: TEACH-AI
StatusEnrolling by Invitation
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗

Record History

  1. Start date changed from estimate of Sep 2026 to Sep 24, 2026
  2. Enrolling by invitation only Site contacts updated at 4 of 4 sites Show 1 more changeShow less
    • Site contacts updated at 4 of 4 sites
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT07813754
Lead Sponsor Beth Israel Deaconess Medical Center
Collaborators: Stanford University, Cambridge Health Alliance, AdventHealth
Conditions Artificial Intelligence (AI), Clinical Reasoning, Clinical Decision-making, Medical Education
Enrollment 200 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov