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Review
. 2024 Mar;68(2):194-207.
doi: 10.1111/1754-9485.13609. Epub 2023 Dec 13.

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

Andrew J O'Brien  1 , John I Vrazas  2   3 , Warren Clements  4   5   6
Affiliations
Review

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

Andrew J O'Brien et al. J Med Imaging Radiat Oncol. 2024 Mar.

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.

Keywords: artificial intelligence; deep learning; interventional radiology; machine learning; neural network.

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