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Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis

Crossref DOI link: https://doi.org/10.1186/s12909-024-05944-8

Published Online: 2024-09-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jin, Hye Kyung

Lee, Ha Eun

Kim, EunYoung
Funding

Funding for this research was provided by:

the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2021R1A6A1A03044296, 2021R1A6A1A03044296)

Chung-Ang University Graduate Research Scholarship in 2023
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Text and Data Mining valid from 2024-09-16

Version of Record valid from 2024-09-16
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Article History

Received: 29 March 2024

Accepted: 22 August 2024

First Online: 16 September 2024

Change Date: 11 October 2024

Change Type: Update

Change Details: The Supplementary information has been updated with a clean copy.

Declarations

:

: This study did not involve human participants; therefore, this is not applicable.

: Not applicable.

: The authors declare no competing interests.

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