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Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke.

作者信息

Khurshid Shaan, Friedman Samuel F, Kany Shinwan, Mahajan Rahul, Turner Ashby C, Lubitz Steven A, Maddah Mahnaz, Ellinor Patrick T, Anderson Christopher D

机构信息

Demoulas Center for Cardiac Arrhythmias (S. Khurshid, S.A.L., P.T.E.), Massachusetts General Hospital, Boston, MA.

Cardiovascular Research Center (S. Khurshid, S.A.L., P.T.E.), Massachusetts General Hospital, Boston, MA.

出版信息

Circ Arrhythm Electrophysiol. 2024 Oct;17(10):e012959. doi: 10.1161/CIRCEP.124.012959. Epub 2024 Aug 28.

DOI:10.1161/CIRCEP.124.012959
PMID:39193715
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11479813/
Abstract
摘要

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本文引用的文献

1
ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation.基于心电图的深度学习与临床危险因素预测心房颤动
Circulation. 2022 Jan 11;145(2):122-133. doi: 10.1161/CIRCULATIONAHA.121.057480. Epub 2021 Nov 8.
2
Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke.急性缺血性脑卒中后节律监测的作用。
Am J Cardiol. 2021 May 15;147:44-51. doi: 10.1016/j.amjcard.2021.01.038. Epub 2021 Feb 20.
3
Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke.心房颤动风险与心源性及非心源性卒中的鉴别。
Stroke. 2020 May;51(5):1396-1403. doi: 10.1161/STROKEAHA.120.028837. Epub 2020 Apr 7.
4
A Simple and Portable Algorithm for Identifying Atrial Fibrillation in the Electronic Medical Record.一种用于在电子病历中识别心房颤动的简单便携式算法。
Am J Cardiol. 2016 Jan 15;117(2):221-5. doi: 10.1016/j.amjcard.2015.10.031. Epub 2015 Nov 6.
5
Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.简单风险模型预测了一个种族和地理多样化人群中心房颤动的发生率：CHARGE-AF 联盟。
J Am Heart Assoc. 2013 Mar 18;2(2):e000102. doi: 10.1161/JAHA.112.000102.