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Exploring Medical Student Trust in Generative Artificial Intelligence (ChatGPT) Versus Peers in Team-Based Learning
Amrit Kirpalani1,2,3, Joanne Grimmer1,3, Peter Zhan Tao Wang4
1Department of Paediatrics, Schulich School of Medicine and Dentistry, Western University, London, ON Canada.
Medical Science Educator
|May 12, 2025
Summary
Artificial intelligence (AI) significantly influenced medical students' clinical decision-making, causing them to adopt AI-generated answers, even incorrect ones. Group discussions failed to correct these AI-induced misconceptions, highlighting risks in medical education.
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Clinical Decision-Making
Background:
- The integration of artificial intelligence (AI) into medical education presents new opportunities and challenges.
- Understanding the impact of AI tools like ChatGPT on student learning is crucial.
Purpose of the Study:
- To investigate how AI-generated responses from ChatGPT affect medical students' decision-making processes.
- To evaluate the effectiveness of group discussions in mitigating AI-induced misconceptions among medical students.
Main Methods:
- Forty medical students participated in a study involving clinical case responses.
- Responses were collected in three phases: independent, after reviewing AI answers, and post-group discussion.
- Student responses were analyzed for shifts influenced by AI and group dynamics.
Main Results:
- Students' responses significantly aligned with ChatGPT's output, regardless of accuracy.
- AI-generated content demonstrably influenced student decision-making.
- Group discussions were ineffective in correcting AI-driven misinformation.
Conclusions:
- AI tools like ChatGPT can substantially impact medical students' clinical reasoning and decision-making.
- There is a critical need for developing guidelines on the responsible use of AI in medical education.
- Medical educators must foster critical assessment skills to address AI-generated content.
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