An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms-Reference-Cited by-同舟云学术

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

Published:2024-03-06 Issue:3 Volume:75 Page:568-574
ISSN:0846-5371
Container-title:Canadian Association of Radiologists Journal
language:en
Short-container-title:Can Assoc Radiol J

Author:

Warren Blair Edward¹²^ORCID,Bilbily Alexander¹³⁴,Gichoya Judy Wawira⁵,Chartier Lucas B.⁶⁷,Fawzy Aly¹,Barragán Camilo¹²^ORCID,Jaberi Arash¹²,Mafeld Sebastian¹²

Affiliation:

1. Department of Medical Imaging, University of Toronto, Toronto, ON, Canada

2. Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada

3. 16 Bit Inc., Toronto, ON, Canada

4. Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada

5. Department of Radiology, Emory University, Atlanta, GA, USA

6. Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada

7. Department of Emergency Medicine, University Health Network, Toronto, ON, Canada

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.

Publisher

SAGE Publications

Link

https://journals.sagepub.com/doi/pdf/10.1177/08465371241236377

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