{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Jin HK"],"funding":["the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education","Chung-Ang University Graduate Research Scholarship in 2023"],"pagination":["1013"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11406751"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["Background
ChatGPT, a recently developed artificial intelligence (AI) chatbot, has demonstrated improved performance in examinations in the medical field. However, thus far, an overall evaluation of the potential of ChatGPT models (ChatGPT-3.5 and GPT-4) in a variety of national health licensing examinations is lacking. This study aimed to provide a comprehensive assessment of the ChatGPT models' performance in national licensing examinations for medical, pharmacy, dentistry, and nursing research through a meta-analysis.Methods
Following the PRISMA protocol, full-text articles from MEDLINE/PubMed, EMBASE, ERIC, Cochrane Library, Web of Science, and key journals were reviewed from the time of ChatGPT's introduction to February 27, 2024. Studies were eligible if they evaluate"],"journal":["BMC medical education"],"pubmed_title":["Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis."],"pmcid":["PMC11406751"],"funding_grant_id":["2021R1A6A1A03044296"],"pubmed_authors":["Jin HK","Kim E","Lee HE"],"additional_accession":[]},"is_claimable":false,"name":"Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis.","description":"Background
ChatGPT, a recently developed artificial intelligence (AI) chatbot, has demonstrated improved performance in examinations in the medical field. However, thus far, an overall evaluation of the potential of ChatGPT models (ChatGPT-3.5 and GPT-4) in a variety of national health licensing examinations is lacking. This study aimed to provide a comprehensive assessment of the ChatGPT models' performance in national licensing examinations for medical, pharmacy, dentistry, and nursing research through a meta-analysis.Methods
Following the PRISMA protocol, full-text articles from MEDLINE/PubMed, EMBASE, ERIC, Cochrane Library, Web of Science, and key journals were reviewed from the time of ChatGPT's introduction to February 27, 2024. Studies were eligible if they evaluate","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2025-04-04T01:37:24.319Z","creation":"2025-04-04T01:37:24.319Z"},"accession":"S-EPMC11406751","cross_references":{"pubmed":["39285377"],"doi":["10.1186/s12909-024-05944-8"]}}