Large language models in medical education: new tools for experimentation and discovery

Authors

  • Akshay Rajaram Queen's University

DOI:

https://doi.org/10.36834/cmej.78879

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References

Le T, Stein ML. Medical education and the internet: this changes everything. JAMA. 2001;285(6):809- https://doi.org/10.1001/jama.285.6.809-JMS0214-6-1 DOI: https://doi.org/10.1001/jama.285.6.809-JMS0214-6-1

Shah NH, Entwistle D, Pfeffer MA. Creation and adoption of large language models in medicine. JAMA. 2023;330(9):866-9. https://doi.org/10.1001/jama.2023.14217 DOI: https://doi.org/10.1001/jama.2023.14217

Liu Y, Chen P-HC, Krause J, et al. How to read articles that use machine learning: users' guides to the medical literature. JAMA. 2019;322(18):1806-16. https://doi.org/10.1001/jama.2019.16489 DOI: https://doi.org/10.1001/jama.2019.16489

Zhou H, Gu B, Zou X, et al. A survey of large language models in medicine: Progress, application, and challenge. arXiv preprint arXiv:231105112. 2023.

Safranek CW, Sidamon-Eristoff AE, Gilson A, et al. The role of large language models in medical education: applications and implications. JMIR Med Educ. 2023;9:e50945. https://doi.org/10.2196/50945 DOI: https://doi.org/10.2196/50945

GPT-4 Technical Report: OpenAI. 2023. Available from: https://cdn.openai.com/papers/gpt-4.pdf. [Accessed Jan 4, 2024].

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Published

2024-04-29

How to Cite

1.
Rajaram A. Large language models in medical education: new tools for experimentation and discovery. Can. Med. Ed. J [Internet]. 2024 Apr. 29 [cited 2024 Nov. 18];15(3):123-4. Available from: https://journalhosting.ucalgary.ca/index.php/cmej/article/view/78879

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Section

Commentary and Opinions