Current applications of algorithmic artificial intelligence in interventional radiology: A review of the literature.

Journal: Journal of medical imaging and radiation oncology
Published Date: Dec 13, 2023

Abstract

Artificial intelligence is a rapidly evolving area of technology whose integration into healthcare delivery infrastructure is predicted to have profound implications for medicine delivery in the 21st century. Artificial intelligence as it relates to healthcare is a term used to cover a wide scope of computer-based algorithms whose application varies from patient selection to enhancements in imaging and postoperative prognostication. This article reviews the literature to contextualise how AI is currently being implemented in interventional radiology. This review considers the literature from a preoperative, intraoperative and postoperative perspective.

Authors

  • Andrew J O'Brien
    Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • John I Vrazas
    Melbourne Institute of Vascular and Interventional Radiology, Melbourne, Victoria, Australia.
  • Warren Clements
    Department of Radiology, Alfred Hospital, Melbourne, Victoria, Australia.

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