Artificial intelligence for chronic total occlusion percutaneous coronary interventions.
Authors
Rempakos A,Pilla P,Alexandrou M,Mutlu D,Strepkos D,Carvalho PEP,Ser OS,Bahbah A,Amin A,Prasad A,Azzalini L,Ybarra LF,Mastrodemos OC,Rangan BV,Al-Ogaili A,Jalli S,Burke MN,Sandoval Y,Brilakis ES
Affiliations (6)
Affiliations (6)
- Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota.
- Rush University Medical Center, Chicago, Illinois.
- Department of Medicine, Division of Cardiology, University of Texas (UT) Health San Antonio, San Antonio, Texas.
- University of Washington Medical Center, Washington.
- Western University, London Health Sciences Center, London, Ontario, Canada.
- Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern Hospital, Minneapolis, Minnesota. Email: [email protected].
Abstract
Artificial intelligence (AI) has become pivotal in advancing medical care, particularly in interventional cardiology. Recent AI developments have proven effective in guiding advanced procedures and complex decisions. The authors review the latest AI-based innovations in the diagnosis of chronic total occlusions (CTO) and in determining the probability of success of CTO percutaneous coronary intervention (PCI). Neural networks and deep learning strategies were the most commonly used algorithms, and the models were trained and deployed using a variety of data types, such as clinical parameters and imaging. AI holds great promise in facilitating CTO PCI.
Topics
Journal Article