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Editorial: The role of artificial intelligence technologies in revolutionizing and aiding cardiovascular medicine.

作者信息

Attallah Omneya, Ma Xianghong, Sedky Mohamed

机构信息

Department of Electronics and Communications Engineering, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.

Wearables, Biosensing, and Biosignal Processing Laboratory, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt.

出版信息

Front Cardiovasc Med. 2025 Apr 4;12:1588983. doi: 10.3389/fcvm.2025.1588983. eCollection 2025.

DOI:10.3389/fcvm.2025.1588983
PMID:40255343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12006174/
Abstract
摘要

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Using artificial intelligence to improve public health: a narrative review.利用人工智能改善公共卫生：叙述性评论。
Front Public Health. 2023 Oct 26;11:1196397. doi: 10.3389/fpubh.2023.1196397. eCollection 2023.
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Artificial intelligence in cardiology: The past, present and future.心脏病学中的人工智能：过去、现在与未来。
Indian Heart J. 2022 Jul-Aug;74(4):265-269. doi: 10.1016/j.ihj.2022.07.004. Epub 2022 Jul 30.
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Artificial Intelligence in Cardiovascular Medicine: Current Insights and Future Prospects.人工智能在心血管医学中的应用：现状与展望。
Vasc Health Risk Manag. 2022 Jul 12;18:517-528. doi: 10.2147/VHRM.S279337. eCollection 2022.
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Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study.全球心血管疾病负担及危险因素, 1990-2019:来自 GBD 2019 研究的更新。
J Am Coll Cardiol. 2020 Dec 22;76(25):2982-3021. doi: 10.1016/j.jacc.2020.11.010.
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Artificial Intelligence in Cardiology: Present and Future.人工智能在心脏病学中的应用：现状与未来。
Mayo Clin Proc. 2020 May;95(5):1015-1039. doi: 10.1016/j.mayocp.2020.01.038.
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High-performance medicine: the convergence of human and artificial intelligence.高性能医学：人机智能融合。
Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7.
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J Am Coll Cardiol. 2018 Jun 12;71(23):2668-2679. doi: 10.1016/j.jacc.2018.03.521.
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10
Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair.用于确定血管内主动脉瘤修复术后再次干预风险的贝叶斯神经网络方法。
Proc Inst Mech Eng H. 2014 Sep;228(9):857-66. doi: 10.1177/0954411914549980. Epub 2014 Sep 11.