Athanasios Rempakos, Pranathi Pilla, Michaella Alexandrou, Deniz Mutlu, Dimitrios Strepkos, Pedro E P Carvalho, Ozgur Selim Ser, Ali Bahbah, Amit Amin, Anand Prasad, Lorenzo Azzalini, Luiz F Ybarra, Olga C Mastrodemos, Bavana V Rangan, Ahmed Al-Ogaili, Sandeep Jalli, M Nicholas Burke, Yader Sandoval, Emmanouil S Brilakis
{"title":"Artificial intelligence for chronic total occlusion percutaneous coronary interventions.","authors":"Athanasios Rempakos, Pranathi Pilla, Michaella Alexandrou, Deniz Mutlu, Dimitrios Strepkos, Pedro E P Carvalho, Ozgur Selim Ser, Ali Bahbah, Amit Amin, Anand Prasad, Lorenzo Azzalini, Luiz F Ybarra, Olga C Mastrodemos, Bavana V Rangan, Ahmed Al-Ogaili, Sandeep Jalli, M Nicholas Burke, Yader Sandoval, Emmanouil S Brilakis","doi":"10.25270/jic/25.00089","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":49261,"journal":{"name":"Journal of Invasive Cardiology","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Invasive Cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.25270/jic/25.00089","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The Journal of Invasive Cardiology will consider for publication suitable articles on topics pertaining to the invasive treatment of patients with cardiovascular disease.