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

Artificial Intelligence (1723) AI Language Models in Health Care (105) Ethical, Legal, and Social Issues in AI (63) Focus Groups and Qualitative Research for Human Factors Research (1029)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70487, first published .
Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Authors of this article:

Jana Gundlack1 Author Orcid Image ;   Carolin Thiel1 Author Orcid Image ;   Sarah Negash2 Author Orcid Image ;   Charlotte Buch3 Author Orcid Image ;   Timo Apfelbacher4 Author Orcid Image ;   Kathleen Denny1 Author Orcid Image ;   Jan Christoph4, 5 Author Orcid Image ;   Rafael Mikolajczyk2 Author Orcid Image ;   Susanne Unverzagt1 Author Orcid Image ;   Thomas Frese1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jana Gundlack   1 , MD ;   Carolin Thiel   1 , PhD ;   Sarah Negash   2 , MSc ;   Charlotte Buch   3 , MSc ;   Timo Apfelbacher   4 , MSc ;   Kathleen Denny   1 , MD ;   Jan Christoph   4, 5 , AP ;   Rafael Mikolajczyk   2 , MD, Prof Dr ;   Susanne Unverzagt   1 * , Prof Dr ;   Thomas Frese   1 * , MD, Prof Dr

1 Institute of General Practice and Family Medicine, Interdisciplinary Center of Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany

2 Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany

3 Institute for History and Ethics of Medicine, Interdisciplinary Center of Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany

4 Friedrich-Alexander-Universität Erlangen-Nürnberg, Medical Informatics, Erlangen, Germany

5 Junior Research Group (Bio-)medical Data Science, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany

*these authors contributed equally

Corresponding Author:

  • Jana Gundlack, MD
  • Institute of General Practice and Family Medicine, Interdisciplinary Center of Health Sciences
  • Medical Faculty of the Martin Luther University Halle-Wittenberg
  • Magdeburger Straße 8
  • Halle (Saale), 06120
  • Germany
  • Phone: 49 345 557 5338
  • Email: jana.gundlack@uk-halle.de