The inclusion of augmented intelligence in medicine: A framework for successful implementation.

Journal: Cell reports. Medicine
Published Date:

Abstract

Artificial intelligence (AI) algorithms are being applied across a large spectrum of everyday life activities. The implementation of AI algorithms in clinical practice has been met with some skepticism and concern, mainly because of the uneasiness that stems, in part, from a lack of understanding of how AI operates, together with the role of physicians and patients in the decision-making process; uncertainties regarding the reliability of the data and the outcomes; as well as concerns regarding the transparency, accountability, liability, handling of personal data, and monitoring and system upgrades. In this viewpoint, we take these issues into consideration and offer an integrated regulatory framework to AI developers, clinicians, researchers, and regulators, aiming to facilitate the adoption of AI that rests within the FDA's pathway, in research, development, and clinical medicine.

Authors

  • George Bazoukis
    Second Department of Cardiology Evangelismos General Hospital of Athens Athens Greece.
  • Jennifer Hall
    American Heart Association, National Center, Dallas, TX.
  • Joseph Loscalzo
    Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. Electronic address: jloscalzo@rics.bwh.harvard.edu.
  • Elliott Marshall Antman
    Department of Medicine, Brigham and Women's Hospital, Boston, MA.
  • Valentín Fuster
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, New York. Electronic address: vfuster@cnic.es.
  • Antonis A Armoundas
    Cardiovascular Research Center Massachusetts General Hospital Boston MA.