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

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Bibliographic Details
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
Description
ISSN:2624-8212
DOI:10.3389/frai.2025.1614874