Current applications of algorithmic artificial intelligence in interventional radiology: A review of the literature-Reference-Cited by-同舟云学术

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

Published:2023-12-13 Issue: Volume: Page:
ISSN:1754-9477
Container-title:Journal of Medical Imaging and Radiation Oncology
language:en
Short-container-title:J Med Imag Rad Onc

Author:

O'Brien Andrew J¹^ORCID,Vrazas John I²³,Clements Warren⁴⁵⁶^ORCID

Affiliation:

1. Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine University of Ottawa Ottawa Ontario Canada

2. Melbourne Institute of Vascular and Interventional Radiology Melbourne Victoria Australia

3. St. Vincent's Private Hospital Melbourne Melbourne Victoria Australia

4. Department of Radiology Alfred Health Melbourne Victoria Australia

5. Department of Surgery Monash University Central Clinical School Melbourne Victoria Australia

6. National Trauma Research Institute, Monash University Central Clinical School Melbourne Victoria Australia

Abstract

SummaryArtificial 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.

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1754-9485.13609

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