An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms.

Journal: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Published Date: Mar 6, 2024

Abstract

The introduction of artificial intelligence (AI) in interventional radiology (IR) will bring about new challenges and opportunities for patients and clinicians. AI may comprise software as a medical device or AI-integrated hardware and will require a rigorous evaluation that should be guided based on the level of risk of the implementation. A hierarchy of risk of harm and possible harms are described herein. A checklist to guide deployment of an AI in a clinical IR environment is provided. As AI continues to evolve, regulation and evaluation of the AI medical devices will need to continue to evolve to keep pace and ensure patient safety.

Authors

  • Blair Edward Warren
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Alexander Bilbily
  • Judy Wawira Gichoya
    Department of Interventional Radiology, Oregon Health & Science University, Portland, Oregon; Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.
  • Lucas B Chartier
    Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Aly Fawzy
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Camilo Barragán
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Arash Jaberi
    Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Sebastian Mafeld
    Joint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.

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