Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

Journal: Studies in health technology and informatics
Published Date: May 15, 2025

Abstract

The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study aimed to examine the general population's technology affinity and perceptions regarding AI in their medical treatment using questionnaire data from the population-based online panel HeReCa (Health Related Beliefs and Health Care Experiences in Germany). In principle, participants were open to the use of AI systems in their treatment, with those having medium and high levels of technology affinity being more receptive than those with low affinity. Including the population's perspectives in the various applications of AI is crucial for the successful implementation of AI in medical treatment.

Authors

  • Sarah Negash
    Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Henry Papon
    Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Timo Apfelbacher
    Department of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
  • Sude Eda Koçman
    Friedrich-Alexander-Universität Erlangen-Nürnberg, Institute for Medical Informatics, Biometrics and Epidemiology, Medical Informatics, Erlangen, Germany.
  • Jana Gundlack
    Institute of General Practice and Family Medicine, Center of Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Iryna Manuilova
    Junior Research Group (Bio-)medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
  • Jan Christoph
    Medical Informatics, Friedrich-Alexander University, Erlangen-Nürnberg, Erlangen, Germany.
  • Jan Schildmann
    Institute for History and Ethics of Medicine, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Eva Johanna Kantelhardt
    Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Patrick Jahn
    Universitätsklinikum Halle (Saale), Stabsstelle Pflegeforschung, Halle (Saale), Deutschland.
  • Anja Knöchelmann
    Institute for Medical Sociology, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Rafael Mikolajczyk
    Institute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany.

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