Current applications of algorithmic artificial intelligence in interventional radiology: A review of the literature
Andrew J O'Brien1, John I Vrazas2,3, Warren Clements4,5,6
1Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
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.
