Artificial Intelligence in the Heart of Medicine: A Systematic Approach to Transforming Arrhythmia Care with Intelligent Systems.

IF 2.2 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Cardiology Reviews Pub Date : 2025-01-01 DOI:10.2174/011573403X334095241205041550

Adel Khalifa Sultan Hamad, Jassim Haji

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引用次数: 0

Abstract

Background: At a critical juncture in the ongoing fight against cardiovascular disease (CVD), healthcare professionals are striving for more informed and expedited decisionmaking. Artificial intelligence (AI) promises to be a guiding light in this endeavor. The diagnosis of coronary artery disease has now become non-invasive and convenient, while wearable devices excel at promptly detecting life-threatening arrhythmias and treatments for heart failure.

Objective: This study aimed to highlight the applications of AI in cardiology with a particular focus on arrhythmias and its potential impact on healthcare for all through careful implementation and constant research efforts.

Methods: An extensive search strategy was implemented. The search was conducted in renowned electronic medical databases, including Medline, PubMed, Cochrane Library, and Google Scholar. Artificial Intelligence, cardiovascular diseases, arrhythmias, machine learning, and convolutional neural networks in cardiology were used as keywords for the search strategy.

Results: A total of 6876 records were retrieved from different electronic databases. Duplicates (N = 1356) were removed, resulting in 5520 records for screening. Based on predefined inclusion and exclusion criteria, 4683 articles were excluded. Following the full-text screening of the remaining 837 articles, a further 637 were excluded. Ultimately, 200 studies were included in this review.

Conclusion: AI represents not just a development but a cutting-edge force propelling the next evolution of cardiology. With its capacity to make precise predictions, facilitate non-invasive diagnosis, and personalize therapies, AI holds the potential to save lives and enhance healthcare quality on a global scale.

查看原文本刊更多论文

医学心脏中的人工智能：用智能系统改造心律失常护理。

背景：在与心血管疾病（CVD）持续斗争的关键时刻，医疗保健专业人员正在努力获得更多的信息和更快的决策。人工智能（AI）有望成为这一努力的指路明灯。冠状动脉疾病的诊断现在已经变得无创和方便，而可穿戴设备在及时检测危及生命的心律失常和治疗心力衰竭方面表现出色。目的：本研究旨在强调人工智能在心脏病学中的应用，特别是心律失常及其对所有人医疗保健的潜在影响，通过仔细实施和不断的研究努力。方法：采用广泛搜索策略。检索是在著名的电子医学数据库中进行的，包括Medline、PubMed、Cochrane Library和谷歌Scholar。人工智能、心血管疾病、心律失常、机器学习和卷积神经网络作为搜索策略的关键词。结果：在不同的电子数据库中共检索到6876条记录。删除重复（N = 1356），得到5520条记录用于筛选。根据预定义的纳入和排除标准，4683篇文章被排除在外。在对剩余的837篇文章进行全文筛选后，又排除了637篇。最终，200项研究被纳入本综述。结论：人工智能不仅代表了一种发展，而且代表了推动心脏病学下一步发展的前沿力量。人工智能具有精确预测、促进非侵入性诊断和个性化治疗的能力，具有在全球范围内拯救生命和提高医疗质量的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Cardiology Reviews CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

3.70

自引率

10.50%

发文量

117

期刊介绍： Current Cardiology Reviews publishes frontier reviews of high quality on all the latest advances on the practical and clinical approach to the diagnosis and treatment of cardiovascular disease. All relevant areas are covered by the journal including arrhythmia, congestive heart failure, cardiomyopathy, congenital heart disease, drugs, methodology, pacing, and preventive cardiology. The journal is essential reading for all researchers and clinicians in cardiology.