A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations.

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Title: A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations.
Authors: Souto MEVC; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil., Fernandes AC; Institute of Mathematics and Computer Sciences, University of São Paulo, São Paulo, Brazil., Silva ABS; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil., de Freitas Ribeiro LH; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil., de Medeiros Fernandes TAA; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil.
Source: Frontiers in artificial intelligence [Front Artif Intell] 2025 Aug 22; Vol. 8, pp. 1614874. Date of Electronic Publication: 2025 Aug 22 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: In Process
Database: MEDLINE Ultimate
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  Data: A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations.
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  Data: <searchLink fieldCode="AU" term="%22Souto+MEVC%22">Souto MEVC</searchLink>; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil.<br /><searchLink fieldCode="AU" term="%22Fernandes+AC%22">Fernandes AC</searchLink>; Institute of Mathematics and Computer Sciences, University of São Paulo, São Paulo, Brazil.<br /><searchLink fieldCode="AU" term="%22Silva+ABS%22">Silva ABS</searchLink>; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Freitas+Ribeiro+LH%22">de Freitas Ribeiro LH</searchLink>; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil.<br /><searchLink fieldCode="AU" term="%22de+Medeiros+Fernandes+TAA%22">de Medeiros Fernandes TAA</searchLink>; Department of Biomedical Sciences, School of Health Sciences, State University of Rio Grande do Norte, Mossoró, Brazil.
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  Data: <searchLink fieldCode="JN" term="%22101770551%22">Frontiers in artificial intelligence</searchLink> [Front Artif Intell] 2025 Aug 22; Vol. 8, pp. 1614874. <i>Date of Electronic Publication: </i>2025 Aug 22 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101770551 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2624-8212 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226248212%22">26248212 </searchLink><i>NLM ISO Abbreviation: </i>Front Artif Intell <i>Subsets: </i>In Process
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        Value: 10.3389/frai.2025.1614874
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      – Code: eng
        Text: English
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              Text: 2025 Aug 22
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