AI that teaches: an evidence-based GPT model to improve medical student understanding of pulmonary function tests

Anusha Aiyar; Henry Moon

doi:10.36834/cmej.80873

AI that teaches: an evidence-based GPT model to improve medical student understanding of pulmonary function tests

Authors

Anusha Aiyar Medical College Of Georgia
Henry Moon Medical College of Georgia

DOI:

https://doi.org/10.36834/cmej.80873

Abstract

Implication Statement

This study explores the integration of an augmented Generative Pre-trained Transformer (GPT) tool with curated scientific sources to enhance the learning of pulmonary function test (PFT) interpretation in pre-clerkship medical education. Our findings suggest that this approach offers notable improvements in accuracy, reliability, and the quality of explanations compared to existing tools, such as Out-of-Box GPT and USMLE Q-Banks. The PFT learning assistant can support medical students in navigating common learning barriers, provide a personalized and scalable approach to evidence-based medical education

Downloads

Download data is not yet available.

References

1. Smith JA, Doe RL. The impact of AI on personalized learning. J Educ Technol. 2020;35(4):123-145. https://doi.org/10.1016/j.edutech.2020.05.012

2. Ranu H, Wilde M, Madden B. Pulmonary function tests. Ulster Med J. 2011;80(2):84-90. Available from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229853/ [Accessed on Jan 23, 2025].

3. West JB. Challenges in teaching the mechanics of breathing to medical and graduate students. Adv Physiol Educ. 2008;32(3):177-184. https://doi.org/10.1152/advan.90146.2008

4. Kann MR, Huang GW, Pugazenthi S, et al. Unlocking medical student success: a systematic review and meta-analysis of third-party resources used for medical education and USMLE board preparation. Med Sci Educ. 2024. https://doi.org/10.1007/s40670-024-02116-7

5. OpenAI. ChatGPT. OpenAI; 2024. Available from: https://openai.com [Accessed on Jan 23, 2025].

6. Yang R, Ning Y, Keppo E, et al. Retrieval-augmented generation for generative artificial intelligence in health care. NPJ Health Syst. 2025;2(2). https://doi.org/10.1038/s44401-024-00004-1

Downloads

Published

2025-12-09

How to Cite

Aiyar A, Moon H. AI that teaches: an evidence-based GPT model to improve medical student understanding of pulmonary function tests . Can. Med. Ed. J [Internet]. 2025 Dec. 9 [cited 2025 Dec. 9];. Available from: https://journalhosting.ucalgary.ca/index.php/cmej/article/view/80873

Download Citation

Issue

In Press

Section

You Should Try This

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Submission of an original manuscript to the Canadian Medical Education Journal will be taken to mean that it represents original work not previously published, that it is not being considered elsewhere for publication. If accepted for publication, it will be published online and it will not be published elsewhere in the same form, for commercial purposes, in any language, without the consent of the publisher.

Authors who publish in the Canadian Medical Education Journal agree to release their articles under the Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 Canada Licence. This licence allows anyone to copy and distribute the article for non-commercial purposes provided that appropriate attribution is given. For details of the rights an author grants users of their work, please see the licence summary and the full licence.