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Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores.

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Bibliographic Details
Title:	Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores.
Authors:	Aldalou M; Department of Medical Education, Marnix E. Heersink School of Medicine University of Alabama at Birmingham Birmingham Alabama USA., Brooks WS; Department of Medical Education, Marnix E. Heersink School of Medicine University of Alabama at Birmingham Birmingham Alabama USA., Rush E; Office of Institutional Effectiveness, Academic Affairs Rush University Chicago Illinois USA.; Department of Anatomy and Cell Biology, Rush Medical College Rush University Chicago Illinois USA., Landry-Wegener B; Department of Internal Medicine Johns Hopkins School of Medicine Baltimore Maryland USA., Bills C; Department of Emergency Medicine, Anschutz School of Medicine University of Colorado Aurora Colorado USA., Cook DA; Department of General Internal Medicine Mayo Clinic Rochester Minnesota USA., Swope J; Curricu.me Londonderry New Hampshire USA., Wilson AB; Department of Anatomy and Cell Biology, Rush Medical College Rush University Chicago Illinois USA.
Source:	AEM education and training [AEM Educ Train] 2026 May 14; Vol. 10, pp. e70189. Date of Electronic Publication: 2026 May 14 (Print Publication: 2026).
Publication Type:	Journal Article
Journal Info:	Publisher: Wiley Country of Publication: United States NLM ID: 101722142 Publication Model: eCollection Cited Medium: Internet ISSN: 2472-5390 (Electronic) Linking ISSN: 24725390 NLM ISO Abbreviation: AEM Educ Train Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2472-5390
DOI:	10.1002/aet2.70189