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This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (806) AI Language Models in Health Care (246) Natural Language Processing (953) Clinical Informatics (1442) Information Retrieval (363) Electronic Health Records (1377) Infectious Diseases (non-STD/STI) (1754) Clinical Information and Decision Making (2067) Ontologies, Classifications, and Coding (347)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72984, first published .
Large Language Model Symptom Identification From Clinical Text: Multicenter Study

Large Language Model Symptom Identification From Clinical Text: Multicenter Study

Large Language Model Symptom Identification From Clinical Text: Multicenter Study

Authors of this article:

Andrew J McMurry1, 2 Author Orcid Image ;   Dylan Phelan1 Author Orcid Image ;   Brian E Dixon3, 4 Author Orcid Image ;   Alon Geva1, 5 Author Orcid Image ;   Daniel Gottlieb1, 6 Author Orcid Image ;   James R Jones1 Author Orcid Image ;   Michael Terry1 Author Orcid Image ;   David E Taylor4 Author Orcid Image ;   Hannah Callaway4 Author Orcid Image ;   Sneha Manoharan4 Author Orcid Image ;   Timothy Miller1, 2 Author Orcid Image ;   Karen L Olson1, 2 Author Orcid Image ;   Kenneth D Mandl1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Öğdü Ç, Arslanoğlu K, Karaköse M. An Adaptive Multi-Agent LLM-Based Clinical Decision Support System Integrating Biomedical RAG and Web Intelligence. IEEE Access 2025;13:167390 View
  2. Wen P, Ai Q, Fan X, Gu Z, Chen B, Qian H. Programmable Smart CAR-T design: A new paradigm in precision immunotherapy driven by logic gates, conditional activation, allogeneic strategies, and artificial intelligence. Cancer Letters 2026;640:218257 View
  3. Bode L, Xu R, Garber M, Mandl K, Mcmurry A. Identifying Undiagnosed High-Risk Suicidality Cases by Matching Patients With a Similar Comorbidity Burden: Retrospective Observational Study. JMIR Formative Research 2026;10:e81499 View