Artificial Intelligence Bias in Health Care: Web-Based Survey.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: Resources are increasingly spent on artificial intelligence (AI) solutions for medical applications aiming to improve diagnosis, treatment, and prevention of diseases. While the need for transparency and reduction of bias in data and algorithm development has been addressed in past studies, little is known about the knowledge and perception of bias among AI developers.

Authors

  • Carina Nina Vorisek
    Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Caroline Stellmach
    Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Paula Josephine Mayer
    Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Sophie Anne Ines Klopfenstein
    Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Dominik Martin Bures
    Stabsstelle Digitale Transformation, Universitätsmedizin Essen, Essen, Germany.
  • Anke Diehl
    Stabsstelle Digitale Transformation, Universitätsmedizin Essen, Essen, Germany.
  • Maike Henningsen
    Faculty of Health, University of Witten/Herdecke, Witten, Germany.
  • Kerstin Ritter
    Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Department of Psychiatry and Psychotherapy, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health (BIH), Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, 10117 Berlin, Germany. Electronic address: kerstin.ritter@charite.de.
  • Sylvia Thun
    Charité Universitätsmedizin, Berlin Institute of Health, Germany.