aceComparative evaluation of ChatGPT and Gemini feedback in scenario-based clinical reasoning among medical interns
Objective: Artificial intelligence tools are increasingly used to provide individualized feedback in medical education. The aim of this study was to compare the quality of feedback generated by ChatGPT and Gemini during scenario-based clinical reasoning activities. Methods: A convergent mixed-methods study was conducted with 32 medical interns randomly assigned to ChatGPT (n=16) or Gemini (n=16). Following a virtual patient interview on iron deficiency anemia, artificial intelligence-generated feedback was evalu…
Both chatbots produced feedback that interns and medical education specialists rated as clear, supportive and educationally useful in a virtual iron deficiency anemia case.
Feedback from both chatbots lacked patient-centeredness and systematicity and sometimes included unrealistic statements, so it cannot replace expert supervision.
The study compared the tools in a single virtual scenario with 32 interns and found no significant differences, while both tools shared limits such as weak patient-centeredness and occasional unrealistic statements.
Evidence
- Peer-reviewedRevista da Associação Médica Brasileira2026-10-12
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Truvace Impact Record TRV-2026-1571, v1: “Comparative evaluation of ChatGPT and Gemini feedback in scenario-based clinical reasoning among medical interns.” Truvace, 2026-10-16. /record/TRV-2026-1571 (accessed at citation time). sha256 69e7fabaa4469426…
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