Trust and medical AI: the challenges we face and the expertise needed to overcome them.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 33340404

Abstract

Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions. This article makes 2 contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verification, and operation of medical AI technologies. These groups will be required to maintain trust in our healthcare institutions.

Authors

  • Thomas P Quinn
    Centre for Pattern Recognition and Data Analytics, Deakin University, Geelong, Australia.
  • Manisha Senadeera
    Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia.
  • Stephan Jacobs
    Department of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum Berlin, Berlin, Germany; DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
  • Simon Coghlan
    School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
  • Vuong Le
    Applied AI Institute, Deakin University, Geelong, Australia. vuong.le@deakin.edu.au.

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