人工智能在心脏电生理学中的新兴作用。
Emerging role of artificial intelligence in cardiac electrophysiology.
作者信息
Kabra Rajesh, Israni Sharat, Vijay Bharat, Baru Chaitanya, Mendu Raghuveer, Fellman Mark, Sridhar Arun, Mason Pamela, Cheung Jim W, DiBiase Luigi, Mahapatra Srijoy, Kalifa Jerome, Lubitz Steven A, Noseworthy Peter A, Navara Rachita, McManus David D, Cohen Mitchell, Chung Mina K, Trayanova Natalia, Gopinathannair Rakesh, Lakkireddy Dhanunjaya
机构信息
Kansas City Heart Rhythm Institute, Kansas City, Kansas.
Bakar Computational Health Sciences Institute, University of California, San Francisco, California.
出版信息
Cardiovasc Digit Health J. 2022 Sep 27;3(6):263-275. doi: 10.1016/j.cvdhj.2022.09.001. eCollection 2022 Dec.
Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field of AI and ML and their emerging role in EP. The current review is divided into 3 sections. In the first section, we discuss the definitions and basics of AI, ML, and big data. In the second section, we discuss their application to EP in the context of detection, prediction, and management of arrhythmias. Finally, we discuss the regulatory issues, challenges, and future directions of AI in EP.
人工智能（AI）和机器学习（ML）在多个方面对心血管医学领域，尤其是心脏电生理学（EP）产生了重大影响。本综述的目的是使读者熟悉AI和ML领域及其在EP中新兴的作用。当前的综述分为三个部分。在第一部分中，我们讨论AI、ML和大数据的定义及基础知识。在第二部分中，我们讨论它们在心律失常的检测、预测和管理背景下在EP中的应用。最后，我们讨论EP中AI的监管问题、挑战及未来方向。
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