AI Article Synopsis
- Artificial intelligence (AI) is advancing quickly and is expected to greatly impact healthcare, particularly in how medicine is delivered in the 21st century.
- AI encompasses various computer algorithms used in healthcare, including patient selection, imaging improvements, and predicting outcomes after surgery.
- The article examines how AI is currently applied in interventional radiology at different stages: before, during, and after procedures.
Article 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.
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| http://dx.doi.org/10.1111/1754-9485.13609 | DOI Listing |
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