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Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia.稳定型疑似心肌缺血患者:基于机器学习的 CT 计算血流储备分数与应激灌注心血管磁共振成像检测心肌缺血的比较。
BMC Cardiovasc Disord. 2022 Feb 5;22(1):34. doi: 10.1186/s12872-022-02467-2.
3
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4
Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review.机器学习与心血管病护理的未来:《美国心脏病学会杂志》观点述评。
J Am Coll Cardiol. 2021 Jan 26;77(3):300-313. doi: 10.1016/j.jacc.2020.11.030.
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Measuring and modeling whole-brain neural dynamics in Caenorhabditis elegans.测量和建模秀丽隐杆线虫全脑神经动力学。
Curr Opin Neurobiol. 2020 Dec;65:167-175. doi: 10.1016/j.conb.2020.11.001. Epub 2020 Dec 3.
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数字医学:推动心血管科学的下一个重大飞跃。

Digital medicine: the next big leap advancing cardiovascular science.

机构信息

Advanced Cardiovascular Imaging Lab, De Haar Research Foundation (DHRF), Tallinn, Estonia.

Innovation Lab, De Haar Research Task Force, Rotterdam, The Netherlands.

出版信息

BMC Cardiovasc Disord. 2023 Jan 17;23(1):30. doi: 10.1186/s12872-022-02971-5.

DOI:10.1186/s12872-022-02971-5
PMID:36650433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9847174/
Abstract

Solid clinical and academic leadership remains necessary to ensure that healthcare based on digital technologies is relevant, meaningful, and stands on the best possible evidence. This compendium accompanying the "Digital Technologies in Cardiovascular Disorders" article collection in BMC Cardiovascular Disorders summarizes recent knowledge about robust and advanced digital tools for preventing, monitoring, diagnosing, and treating cardiovascular diseases.

摘要

坚实的临床和学术领导力仍然是必要的,以确保基于数字技术的医疗保健具有相关性、有意义,并建立在尽可能最好的证据基础上。本纲要伴随 BMC 心血管疾病中的“心血管疾病中的数字技术”文章集,总结了最近关于预防、监测、诊断和治疗心血管疾病的强大和先进的数字工具的知识。