Artificial Intelligence for Chronic Total Occlusion Percutaneous Coronary Interventions

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.

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Publication Details

Journal
˜The œJournal of invasive cardiology/˜The œjournal of invasive cardiology
Published
2025-01-01
DOI
https://doi.org/10.25270/jic/25.00089
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence for Chronic Total Occlusion Percutaneous Coronary Interventions

Emmanouil S. Brilakis, Athanasios Rempakos, Bavana V. Rangan, Ali Bahbah et al.
˜The œJournal of invasive cardiology/˜The œjournal of invasive cardiology
Coronary Interventions and Diagnostics
article

Artificial Intelligence for Chronic Total Occlusion Percutaneous Coronary Interventions

Emmanouil S. Brilakis, Athanasios Rempakos, Bavana V. Rangan, Ali Bahbah, Pedro E P Carvalho, Sandeep Jalli, Luiz F. Ybarra, Amit Amin, Ahmed Al‐Ogaili, Olga Mastrodemos, Deniz Mutlu, Özgür Selim Ser, Lorenzo Azzalini, Anand Prasad, Dimitrios Strepkos, Michaella Alexandrou, M. Nicholas Burke, Paola Pilla, Yader Sandoval
article en

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.

˜The œJournal of invasive cardiology/˜The œjournal of invasive cardiologyVol. 37(10)
Western University (CA), Rush University Medical Center (US), Abbott Northwestern Hospital (US), The University of Texas at San Antonio Health Science Center (US), London Health Sciences Centre (CA), University of Washington Medical Center (US), Minneapolis Heart Institute Foundation (US)
Openalex Percentile: Top 82%
Coronary Interventions and Diagnostics
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