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

AI Language Models in Health Care (753) Electronic Health Records (1738) Machine Learning (3197) Artificial Intelligence (4810) Generative Language Models Including ChatGPT (1534) Ambient AI Scribes and AI-Driven Documentation Technologies (112)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81500, first published .
Doctor and patient discuss medical scans on tablet and laptop in clinic.

Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation Study

Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation Study

Authors of this article:

Anoeska Schipper1, 2 Author Orcid Image ;   Peter Belgers3 Author Orcid Image ;   Rory David O'Connor4 Author Orcid Image ;   Lieke van de Wouw4 Author Orcid Image ;   Luc Builtjes1 Author Orcid Image ;   Joeran S Bosma1 Author Orcid Image ;   Ron Kusters2, 5 Author Orcid Image ;   Steef Kurstjens2, 6 Author Orcid Image ;   Matthieu Rutten1, 7 Author Orcid Image ;   Bram van Ginneken1 Author Orcid Image
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Journals

  1. Šuvalov H, Umov N, Malk M, Haug M, Laur S, Oja M, Tamm S, Reisberg S, Vilo J, Kolde R. Extracting and Classifying Drug Discontinuations From Estonian Electronic Health Records: Development and Validation Study. Journal of Medical Internet Research 2026;28:e86183 View
  2. Kwolek K, Laskowska W, Pilarek M, Ożga S, Roszkowska M, Furtak M, Janczarski S, Sarna D, Wąs Ł, Tryczyński P. GENERATIVE ARTIFICIAL INTELLIGENCE AND LARGE LANGUAGE MODELS IN EMERGENCY MEDICINE: A NARRATIVE REVIEW. International Journal of Innovative Technologies in Social Science 2026;1(3(51)) View