Clinical Educators Faculty Development Module (On-Demand)-Panel Discussion: AI uses in UME and GME

Video Transcription

Video Summary

The panel explored how medical students and residents are using AI in undergraduate and graduate medical education, as well as in clinical training. Residents and students described using tools like ChatGPT, OpenEvidence, Claude, Gemini, and AMBOSS for board prep, question generation, differential diagnosis, and quick evidence checks. They also use AI to turn notes into flashcards, create presentations, simplify discharge instructions, and draft or audit documentation.<br /><br />A major theme was that AI is helpful as an adjunct, not a replacement, for traditional learning resources such as lecture notes, UWorld, AMBOSS, and clinical guidelines. Several speakers shared examples where AI gave incomplete or incorrect information, reinforcing the need to “trust but verify” and avoid overreliance. Concerns included bias, outdated guidance, privacy, professionalism, and the risk of weakening clinical reasoning.<br /><br />The group also discussed hospital applications such as DAX ambient dictation, sepsis alerts, insulin-dosing tools like EndoTool, and vaccination reminders. They noted that AI use is widespread but often not formally taught or standardized by supervisors. Overall, the panel saw AI as a powerful, evolving tool that can improve efficiency and learning when used responsibly and critically.

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Panel Discussion: AI uses in UME and GME Recording

Keywords

medical education

artificial intelligence

ChatGPT

clinical training

board preparation

differential diagnosis

ambient dictation

documentation

trust but verify