Assessing the methodologic quality of systematic reviews using generative large language models.

Saved in:
Bibliographic Details
Title: Assessing the methodologic quality of systematic reviews using generative large language models.
Authors: Yao B; Minneapolis VA Healthcare System, Minneapolis, MN, United States.; Department of Urology, University of Minnesota, Minneapolis, MN, United States., Ergun O; Minneapolis VA Healthcare System, Minneapolis, MN, United States.; Department of Urology, University of Minnesota, Minneapolis, MN, United States., Ding M; Department of Urology, University of Minnesota, Minneapolis, MN, United States., Miller CD; Minneapolis VA Healthcare System, Minneapolis, MN, United States., Narayan VM; Department of Urology, Emory University, Atlanta, GA, United States., Dahm P; Minneapolis VA Healthcare System, Minneapolis, MN, United States.; Department of Urology, University of Minnesota, Minneapolis, MN, United States.
Source: Canadian Urological Association journal = Journal de l'Association des urologues du Canada [Can Urol Assoc J] 2025 Dec; Vol. 19 (12), pp. E427-E433.
Publication Type: Journal Article
Journal Info: Publisher: Canadian Urological Association Country of Publication: Canada NLM ID: 101312644 Publication Model: Print Cited Medium: Print ISSN: 1911-6470 (Print) Linking ISSN: 19116470 NLM ISO Abbreviation: Can Urol Assoc J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1911-6470
DOI:10.5489/cuaj.9243