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<p>This study explored the impact of artificial intelligence (AI)-generated responses from ChatGPT on medical students’ decision-making and the effectiveness of group discussions in correcting AI-induced misconceptions. Forty students responded to clinical cases in three phases: independently, after reviewing AI answers, and post-group discussions. Students’ responses demonstrated a significant shift to match those provided by ChatGPT, whether or not these were correct. Group discussions did not correct misinformation from AI. The findings not only highlight the potential of AI to influence medical students’ decision-making but also emphasize the need for critical assessment and guidance around responsible use of AI in medical education.</p>

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Exploring Medical Student Trust in Generative Artificial Intelligence (ChatGPT) Versus Peers in Team-Based Learning

  • 期刊论文

  • 发表日期：

    2025年1月24日

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  • Amrit Kirpalani,
  • Joanne Grimmer,
  • Peter Zhan Tao Wang

摘要

This study explored the impact of artificial intelligence (AI)-generated responses from ChatGPT on medical students’ decision-making and the effectiveness of group discussions in correcting AI-induced misconceptions. Forty students responded to clinical cases in three phases: independently, after reviewing AI answers, and post-group discussions. Students’ responses demonstrated a significant shift to match those provided by ChatGPT, whether or not these were correct. Group discussions did not correct misinformation from AI. The findings not only highlight the potential of AI to influence medical students’ decision-making but also emphasize the need for critical assessment and guidance around responsible use of AI in medical education.