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AI Applications in Biomedical Engineering (21) AI Language Models in Health Care (253) Clinical Information and Decision Making (2079) Symptom Checkers (45) Natural Language Processing (961) Generative Language Models Including ChatGPT (825)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88053, first published .
Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study

Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study

Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study

Authors of this article:

Marvin Kopka1 Author Orcid Image ;   Markus A Feufel1 Author Orcid Image
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Marvin Kopka   1 , BSc, MSc, MPH, Dr rer medic, PhD ;   Markus A Feufel   1 , Dipl-Ing (FH), MSc, PhD

1 Division of Ergonomics, Department of Psychology & Ergonomics (IPA), Technische Universität Berlin, Berlin, State of Berlin, Germany

Corresponding Author:

  • Marvin Kopka, BSc, MSc, MPH, Dr rer medic, PhD
  • Division of Ergonomics, Department of Psychology & Ergonomics (IPA)
  • Technische Universität Berlin
  • Straße des 17. Juni 135
  • Berlin, State of Berlin 10623
  • Germany
  • Phone: 49 31470806
  • Email: marvin.kopka@tu-berlin.de