Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.

Journal: European radiology
Published Date: Sep 21, 2021

Abstract

OBJECTIVES: Artificial intelligence (AI) has the potential to impact clinical practice and healthcare delivery. AI is of particular significance in radiology due to its use in automatic analysis of image characteristics. This scoping review examines stakeholder perspectives on AI use in radiology, the benefits, risks, and challenges to its integration.

Authors

  • Ling Yang
    Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine Shanghai 201203 China pwang@shutcm.edu.cn.
  • Ioana Cezara Ene
    McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
  • Reza Arabi Belaghi
    Department of Obstetrics and Gynecology, McMaster University, Hamilton, Ontario, Canada.
  • David Koff
    Department of Radiology, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada.
  • Nina Stein
    McMaster Children's Hospital, McMaster University, 1280 Main St W, Hamilton, ON, L8N 3Z5, Canada.
  • Pasqualina Lina Santaguida
    McMaster University, 1280 Main St W, Hamilton, ON, L8S 4L8, Canada. santag@mcmaster.ca.

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