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An autonomous agentic workflow for clinical detection of cognitive concerns using large language models.

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Title: An autonomous agentic workflow for clinical detection of cognitive concerns using large language models.
Authors: Tian J; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Fard P; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Cagan C; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Rezaii N; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA., Rocha RB; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA., Wang L; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA., Junior VM; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Blacker D; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA., Haas JS; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Patel CJ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Murphy SN; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA., Moura LMVR; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA., Estiri H; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. hestiri@mgh.harvard.edu.
Source: NPJ digital medicine [NPJ Digit Med] 2026 Jan 07; Vol. 9 (1), pp. 51. Date of Electronic Publication: 2026 Jan 07.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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