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The potential of ChatGPT in medicine: an example analysis of nephrology specialty exams in Poland.

Authors :
Nicikowski, Jan
Szczepański, Mikołaj
Miedziaszczyk, Miłosz
Kudliński, Bartosz
Source :
Clinical Kidney Journal. Aug2024, Vol. 17 Issue 8, p1-8. 8p.
Publication Year :
2024

Abstract

Background In November 2022, OpenAI released a chatbot named ChatGPT, a product capable of processing natural language to create human-like conversational dialogue. It has generated a lot of interest, including from the scientific community and the medical science community. Recent publications have shown that ChatGPT can correctly answer questions from medical exams such as the United States Medical Licensing Examination and other specialty exams. To date, there have been no studies in which ChatGPT has been tested on specialty questions in the field of nephrology anywhere in the world. Methods Using the ChatGPT-3.5 and -4.0 algorithms in this comparative cross-sectional study, we analysed 1560 single-answer questions from the national specialty exam in nephrology from 2017 to 2023 that were available in the Polish Medical Examination Center's question database along with answer keys. Results Of the 1556 questions posed to ChatGPT-4.0, correct answers were obtained with an accuracy of 69.84%, compared with ChatGPT-3.5 (45.70%, P  = .0001) and with the top results of medical doctors (85.73%, P  = .0001). Of the 13 tests, ChatGPT-4.0 exceeded the required ≥60% pass rate in 11 tests passed, and scored higher than the average of the human exam results. Conclusion ChatGPT-3.5 was not spectacularly successful in nephrology exams. The ChatGPT-4.0 algorithm was able to pass most of the analysed nephrology specialty exams. New generations of ChatGPT achieve similar results to humans. The best results of humans are better than those of ChatGPT-4.0. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20488505
Volume :
17
Issue :
8
Database :
Academic Search Index
Journal :
Clinical Kidney Journal
Publication Type :
Academic Journal
Accession number :
179512522
Full Text :
https://doi.org/10.1093/ckj/sfae193