Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.

JACC Cardiovasc Interv

Penn Cardiovascular Outcomes, Quality and Evaluative Research Center, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania; Cardiovascular Medicine Division, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address:

Published: July 2019

AI Article Synopsis

  • Access to big data and supercomputers has led to significant advancements in artificial intelligence (AI), particularly in enhancing cognitive tasks like medical imaging interpretation.
  • AI shows great promise in transforming medicine, especially in areas like automated clinical decision-making and medical imaging, which could greatly impact interventional cardiology.
  • The review discusses how AI can improve real-time decision-making and workflows in interventional cardiology through technologies like advanced robotics, while also addressing its potential applications and limitations.

Article Abstract

Access to big data analyzed by supercomputers using advanced mathematical algorithms (i.e., deep machine learning) has allowed for enhancement of cognitive output (i.e., visual imaging interpretation) to previously unseen levels and promises to fundamentally change the practice of medicine. This field, known as "artificial intelligence" (AI), is making significant progress in areas such as automated clinical decision making, medical imaging analysis, and interventional procedures, and has the potential to dramatically influence the practice of interventional cardiology. The unique nature of interventional cardiology makes it an ideal target for the development of AI-based technologies designed to improve real-time clinical decision making, streamline workflow in the catheterization laboratory, and standardize catheter-based procedures through advanced robotics. This review provides an introduction to AI by highlighting its scope, potential applications, and limitations in interventional cardiology.

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Source
http://dx.doi.org/10.1016/j.jcin.2019.04.048DOI Listing

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