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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

Anoeska Schipper   1, 2 , MSc ;   Peter Belgers   3 , MSc ;   Rory David O'Connor   4 , MSc, MD ;   Lieke van de Wouw   4 , MSc, MD ;   Luc Builtjes   1 , MSc ;   Joeran S Bosma   1 , MSc ;   Ron Kusters   2, 5 , PhD ;   Steef Kurstjens   2, 6 , PhD ;   Matthieu Rutten   1, 7 , MD, PhD ;   Bram van Ginneken   1 , PhD

1 Diagnostic Image Analysis Group, Medical Imaging Department, Radboud University Medical Center, Nijmegen, The Netherlands

2 Laboratory of Clinical Chemistry and Hematology, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands

3 Psychiatry Department, Radboud University Medical Center, Nijmegen, The Netherlands

4 Emergency Department, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands

5 Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands

6 Laboratory of Clinical Chemistry and Laboratory Medicine, Dicoon BV, Canisius-Wilhelmina Ziekenhuis, Nijmegen, The Netherlands

7 Medical Imaging Department, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands

Corresponding Author:

  • Bram van Ginneken, PhD
  • Diagnostic Image Analysis Group
  • Medical Imaging Department, Radboud University Medical Center
  • Geert Grooteplein Zuid 10
  • Nijmegen 6525 GA
  • The Netherlands
  • Phone: 31 614021323
  • Email: bramvanginneken@gmail.com