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Commentary: EP-PINNs: Cardiac electrophysiology characterisation using physics-informed neural networks.

作者信息

Meier Stefan, Heijman Jordi

机构信息

Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands.

出版信息

Front Cardiovasc Med. 2022 Aug 24;9:1003652. doi: 10.3389/fcvm.2022.1003652. eCollection 2022.

DOI:10.3389/fcvm.2022.1003652
PMID:36093140
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9448979/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ad/9448979/d3109ff614e8/fcvm-09-1003652-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ad/9448979/d3109ff614e8/fcvm-09-1003652-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ad/9448979/d3109ff614e8/fcvm-09-1003652-g0001.jpg

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本文引用的文献

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The Increasing Role of Rhythm Control in Patients With Atrial Fibrillation: JACC State-of-the-Art Review.心房颤动患者节律控制作用的增加:JACC 现状述评。
J Am Coll Cardiol. 2022 May 17;79(19):1932-1948. doi: 10.1016/j.jacc.2022.03.337.
2
EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks.EP-PINNs:使用物理信息神经网络进行心脏电生理学特征分析
Front Cardiovasc Med. 2022 Feb 3;8:768419. doi: 10.3389/fcvm.2021.768419. eCollection 2021.
3
Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks.
使用物理信息神经网络从心内图中学习心房纤维方向和电导率张量。
Funct Imaging Model Heart. 2021 Jun 18;2021:650-658. doi: 10.1007/978-3-030-78710-3_62.
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Computational models of atrial fibrillation: achievements, challenges, and perspectives for improving clinical care.心房颤动的计算模型:成就、挑战和改善临床护理的展望。
Cardiovasc Res. 2021 Jun 16;117(7):1682-1699. doi: 10.1093/cvr/cvab138.
5
2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC.2020年欧洲心脏病学会(ESC)与欧洲心胸外科学会(EACTS)合作制定的心房颤动诊断和管理指南:欧洲心脏病学会(ESC)心房颤动诊断和管理特别工作组,由ESC欧洲心律协会(EHRA)特别贡献制定。
Eur Heart J. 2021 Feb 1;42(5):373-498. doi: 10.1093/eurheartj/ehaa612.
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General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy.用于验证致心律失常风险预测模型的一般原则:CiPA 计算机模拟策略的扩展。
Clin Pharmacol Ther. 2020 Jan;107(1):102-111. doi: 10.1002/cpt.1647. Epub 2019 Nov 10.
7
Computationally guided personalized targeted ablation of persistent atrial fibrillation.计算指导下的持续性心房颤动个体化靶向消融
Nat Biomed Eng. 2019 Nov;3(11):870-879. doi: 10.1038/s41551-019-0437-9. Epub 2019 Aug 19.
8
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.一种基于人工智能的心电图算法,用于在窦性心律期间识别房颤患者:对结局预测的回顾性分析。
Lancet. 2019 Sep 7;394(10201):861-867. doi: 10.1016/S0140-6736(19)31721-0. Epub 2019 Aug 1.