人工智能用于慢性全闭塞经皮冠状动脉介入治疗。

IF 1.6 4区医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of Invasive Cardiology Pub Date : 2025-05-13 DOI:10.25270/jic/25.00089

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

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引用次数: 0

摘要

人工智能（AI）已经成为推进医疗保健的关键，特别是在介入心脏病学方面。最近的人工智能发展已被证明在指导高级程序和复杂决策方面是有效的。作者回顾了最新的人工智能在慢性全闭塞（CTO）的诊断和CTO经皮冠状动脉介入治疗（PCI）成功概率方面的创新。神经网络和深度学习策略是最常用的算法，使用各种数据类型（如临床参数和成像）训练和部署模型。人工智能在促进CTO PCI方面有着巨大的前景。

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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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来源期刊

Journal of Invasive Cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

2.90

自引率

6.70%

发文量

214

审稿时长

3-8 weeks

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.