Sailing the Seven Seas: A Multinational Comparison of ChatGPT's Performance on Medical Licensing Examinations.

Autor: Alfertshofer M; Division of Hand, Plastic and Aesthetic Surgery, Ludwig-Maximilians University Munich, Ziemssenstrasse 5, 80336, Munich, Germany. m.alfertshofer@campus.lmu.de., Hoch CC; Department of Otolaryngology, Head and Neck Surgery, School of Medicine, Technical University of Munich (TUM), Ismaningerstrasse 22, 81675, Munich, Germany., Funk PF; Department of Otolaryngology, Head and Neck Surgery, University Hospital Jena, Friedrich Schiller University Jena, Am Klinikum 1, 07747, Jena, Germany., Hollmann K; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA, 02114, USA., Wollenberg B; Department of Otolaryngology, Head and Neck Surgery, School of Medicine, Technical University of Munich (TUM), Ismaningerstrasse 22, 81675, Munich, Germany., Knoedler S; Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany., Knoedler L; Department of Plastic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauss-Allee 11, 93053, Regensburg, Germany.
Jazyk: angličtina
Zdroj: Annals of biomedical engineering [Ann Biomed Eng] 2024 Jun; Vol. 52 (6), pp. 1542-1545. Date of Electronic Publication: 2023 Aug 08.
DOI: 10.1007/s10439-023-03338-3
Abstrakt: Purpose: The use of AI-powered technology, particularly OpenAI's ChatGPT, holds significant potential to reshape healthcare and medical education. Despite existing studies on the performance of ChatGPT in medical licensing examinations across different nations, a comprehensive, multinational analysis using rigorous methodology is currently lacking. Our study sought to address this gap by evaluating the performance of ChatGPT on six different national medical licensing exams and investigating the relationship between test question length and ChatGPT's accuracy.
Methods: We manually inputted a total of 1,800 test questions (300 each from US, Italian, French, Spanish, UK, and Indian medical licensing examination) into ChatGPT, and recorded the accuracy of its responses.
Results: We found significant variance in ChatGPT's test accuracy across different countries, with the highest accuracy seen in the Italian examination (73% correct answers) and the lowest in the French examination (22% correct answers). Interestingly, question length correlated with ChatGPT's performance in the Italian and French state examinations only. In addition, the study revealed that questions requiring multiple correct answers, as seen in the French examination, posed a greater challenge to ChatGPT.
Conclusion: Our findings underscore the need for future research to further delineate ChatGPT's strengths and limitations in medical test-taking across additional countries and to develop guidelines to prevent AI-assisted cheating in medical examinations.
(© 2023. The Author(s).)
Databáze: MEDLINE
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