Evaluating the performance of large language models in sarcopenia-related patient queries: a foundational assessment for patient-centered validation.

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Bibliographic Details
Title: Evaluating the performance of large language models in sarcopenia-related patient queries: a foundational assessment for patient-centered validation.
Authors: Huang T; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China., Kirk B; Department of Medicine, Melbourne Medical School, The University of Melbourne, St Albans, VIC, Australia., Close J; Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Randwick, NSW, Australia., Lim JY; Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Duque G; Faculty of Medicine and Health Sciences, The McGill University Health Centre, Montreal, QC, Canada., Ebeling P; Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia., Yang M; Department of Orthopaedics and Traumatology, Beijing Jishuitan Hospital, Beijing, China., Tian M; School of Public Health, Harbin Medical University, Harbin, China., Chui CS; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China., Liu C; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China., Zhang N; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China., Cheung WH; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China., Wong RMY; Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Source: Frontiers in aging [Front Aging] 2026 Feb 27; Vol. 7, pp. 1712785. Date of Electronic Publication: 2026 Feb 27 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 9918231199706676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-6217 (Electronic) Linking ISSN: 26736217 NLM ISO Abbreviation: Front Aging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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