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July 14, 2025

Medical Students' Perspectives on and Usage of Large Language Models in Medical Education: An Exploratory Survey (Preprint)

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Authors

VYVivian YangSFSusan FrancisCSClarence M. Sams

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Overview

Cross-sectional survey shows 88% of medical students use large language models, suggesting significant educational benefits but highlighting concerns about bias and accuracy.

Key Points

  • MAIN FINDING: Large language models are used by 88% of medical students for studying and clinical applications.
  • KEY EVIDENCE: 67% use LLMs to answer questions, while 84% report a positive impact on their education.
  • APPROACH: An exploratory cross-sectional survey collected responses from 120 students across 13 countries.
  • SIGNIFICANCE: Understanding students' perspectives on LLMs aids in addressing ethical issues and enhancing medical education.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/689a02b6e6551bb0af8cc2e0https://doi.org/10.2196/preprints.80596
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Large Language Models in Undergraduate Medical Education: A Scoping Review of Use Cases, Effectiveness, and Limitations2025
  2. 2Perceptions, Usage, and Educational Impact of ChatGPT Among Medical Students in Germany: Cross-Sectional Mixed-Methods Survey (Preprint)2025
  3. 3Large language models in medicine: A systematic review of applications in medical, healthcare, and educational contexts2025 · 4 citations
  4. 4Physician Perspectives on Large Language Models in Healthcare: A Cross-Sectional Survey Study2025 · 1 citations
  5. 5A systematic review of ethical considerations of large language models in healthcare and medicine2025 · 37 citations