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Peer-Reviewed Publication
Can Assoc Radiol J2024;75(3):568-574.August 1, 2024Journal Article

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

Blair Edward Warren1,2, Alexander Bilbily1,3,4, Judy Wawira Gichoya5, Lucas B Chartier6,7, Aly Fawzy1, Camilo Barragán1,2, Arash Jaberi1,2, Sebastian Mafeld1,2
1Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
2Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada.
316 Bit Inc., Toronto, ON, Canada.
4Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
5Department of Radiology, Emory University, Atlanta, GA, USA.
6Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada.
7Department of Emergency Medicine, University Health Network, Toronto, ON, Canada.
PubMed DOI

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 descri…

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