Impact of Artificial Intelligence on Interventional Cardiology: From Decision-Making Aid to Advanced Interventional Procedure Assistance.
Journal:
JACC. Cardiovascular interventions
Published Date:
Jul 22, 2019
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.
Authors
Keywords
Cardiac Catheterization
Cardiovascular Diseases
Clinical Decision-Making
Decision Support Techniques
Deep Learning
Diagnosis, Computer-Assisted
Diffusion of Innovation
Humans
Machine Learning
Patient Selection
Predictive Value of Tests
Robotics
Supervised Machine Learning
Therapy, Computer-Assisted
Unsupervised Machine Learning
Workflow