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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 .
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

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