Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.

Journal: BMC medical informatics and decision making
Published Date: Sep 4, 2024

Abstract

BACKGROUND: Artificial intelligence (AI) is increasingly used for prevention, diagnosis, monitoring, and treatment of cardiovascular diseases. Despite the potential for AI to improve care, ethical concerns and mistrust in AI-enabled healthcare exist among the public and medical community. Given the rapid and transformative recent growth of AI in cardiovascular care, to inform practice guidelines and regulatory policies that facilitate ethical and trustworthy use of AI in medicine, we conducted a literature review to identify key ethical and trust barriers and facilitators from patients' and healthcare providers' perspectives when using AI in cardiovascular care.

Authors

  • Maryam Mooghali
    Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. maryam.mooghali@yale.edu.
  • Austin M Stroud
    Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN, USA.
  • Dong Whi Yoo
    School of Information, Kent State University, Kent, OH, USA.
  • Barbara A Barry
    Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Alyssa A Grimshaw
    Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, Connecticut.
  • Joseph S Ross
    Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
  • Xuan Zhu
    Language Computing Lab, Samsung R&D Institute of China - Beijing (SRC-B), Beijing, China.
  • Jennifer E Miller
    Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.

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