Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study.

Journal: JMIR human factors
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI)-powered technologies are being increasingly used in almost all fields, including medicine. However, to successfully implement medical AI applications, ensuring trust and acceptance toward such technologies is crucial for their successful spread and timely adoption worldwide. Although AI applications in medicine provide advantages to the current health care system, there are also various associated challenges regarding, for instance, data privacy, accountability, and equity and fairness, which could hinder medical AI application implementation.

Authors

  • Daria Shevtsova
    Panaxea bv, Den Bosch, Netherlands.
  • Anam Ahmed
    Panaxea bv, Den Bosch, Netherlands.
  • Iris W A Boot
    Panaxea bv, Den Bosch, Netherlands.
  • Carmen Sanges
    Universitätsklinikum Würzburg, Würzburg, Germany.
  • Michael Hudecek
    Universitätsklinikum Würzburg, Würzburg, Germany.
  • John J L Jacobs
    Clinical Care and Research, ORTEC B.V., Zoetermeer, Netherlands.
  • Simon Hort
    Fraunhofer Institute for Production Technology IPT, Aachen, Germany.
  • Hubertus J M Vrijhoef
    Panaxea bv, Den Bosch, Netherlands.