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人工智能在介入心脏病学中的应用：创新与挑战。

AI in interventional cardiology: Innovations and challenges.

作者信息

Khelimskii Dmitrii, Badoyan Aram, Krymcov Oleg, Baranov Aleksey, Manukian Serezha, Lazarev Mikhail

机构信息

Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation.

HSE University, Russian Federation.

出版信息

Heliyon. 2024 Aug 26;10(17):e36691. doi: 10.1016/j.heliyon.2024.e36691. eCollection 2024 Sep 15.

DOI:10.1016/j.heliyon.2024.e36691
PMID:39281582
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11402142/
Abstract

Artificial Intelligence (AI) permeates all areas of our lives. Even now, we all use AI algorithms in our daily activities, and medicine is no exception. The potential of AI technology is hard to overestimate; AI has already proven its effectiveness in many fields of science and technology. A vast number of methods have been proposed and are being implemented in various areas of medicine, including interventional cardiology. A hallmark of this discipline is the extensive use of visualization techniques not only for diagnosis but also for the treatment of patients with coronary heart disease. The implementation of instrumental AI will reduce costs, in a broad sense. In this article, we provide an overview of AI research in interventional cardiology, practical applications, as well as the problems hindering the widespread use of neural network technologies in interventional cardiology.

摘要

人工智能（AI）渗透到我们生活的方方面面。即便在当下，我们在日常活动中都会使用人工智能算法，医学领域也不例外。人工智能技术的潜力不容小觑；它已在众多科技领域证明了自身的有效性。目前已经提出了大量方法，并正在医学的各个领域付诸实践，包括介入心脏病学。该学科的一个显著特点是广泛使用可视化技术，不仅用于诊断，还用于冠心病患者的治疗。从广义上讲，工具性人工智能的应用将降低成本。在本文中，我们概述了介入心脏病学领域的人工智能研究、实际应用，以及阻碍神经网络技术在介入心脏病学中广泛应用的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dfd/11402142/a75bff7088b0/gr007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dfd/11402142/3590644a39ff/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dfd/11402142/8229981fa53c/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dfd/11402142/65f2fddc7ff4/gr003.jpg
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