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Can ChatGPT pass the thoracic surgery exam?
- Source :
-
The American journal of the medical sciences [Am J Med Sci] 2023 Oct; Vol. 366 (4), pp. 291-295. Date of Electronic Publication: 2023 Aug 06. - Publication Year :
- 2023
-
Abstract
- Background: The capacity of ChatGPT in academic environments and medical exams is being discovered more and more every day. In this study, we tested the success of ChatGPT on Turkish-language thoracic surgery exam questions.<br />Methods: ChatGPT was provided with a total of 105 questions divided into seven distinct groups, each of which contained 15 questions. Along with the success of the students, the success of ChatGPT-3.5 and ChatGPT-4 architectures in answering the questions correctly was analyzed.<br />Results: The overall mean score of students was 12.50 ± 1.20, corresponding to 83.33%. Moreover, ChatGPT-3.5 managed to surpass students' score of 12.5 with an average of 13.57 ± 0.49 questions correctly on average, while ChatGPT-4 answered 14 ± 0.76 questions correctly (83.3%, 90.48%, and 93.33%, respectively).<br />Conclusions: When the results of this study and other similar studies in the literature are evaluated together, ChatGPT, which was developed for general purpose, can also produce successful results in a specific field of medicine. AI-powered applications are becoming more and more useful and valuable in providing academic knowledge.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Thoracic Surgery
Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 1538-2990
- Volume :
- 366
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- The American journal of the medical sciences
- Publication Type :
- Academic Journal
- Accession number :
- 37549788
- Full Text :
- https://doi.org/10.1016/j.amjms.2023.08.001