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Keep your fingers on the PULsE: artificial intelligence to guide atrial fibrillation screening.

作者信息

Khurshid Shaan, Singh Jagmeet P

机构信息

Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, 55 Fruit Street, GRB 8-842, Boston, MA 02114, USA.

Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.

出版信息

Eur Heart J Digit Health. 2022 Jun 20;3(2):205-207. doi: 10.1093/ehjdh/ztac032. eCollection 2022 Jun.

DOI:10.1093/ehjdh/ztac032
PMID:36713010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9708040/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7315/9708040/158090ea0623/ztac032f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7315/9708040/158090ea0623/ztac032f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7315/9708040/158090ea0623/ztac032f1.jpg

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引用本文的文献

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本文引用的文献

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Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England.在基层医疗中使用机器学习风险预测算法和诊断测试(PULsE-AI)识别未确诊的心房颤动:英国一项多中心随机对照试验
Eur Heart J Digit Health. 2022 Mar 23;3(2):195-204. doi: 10.1093/ehjdh/ztac009. eCollection 2022 Jun.
2
Screening for Atrial Fibrillation in Older Adults at Primary Care Visits: VITAL-AF Randomized Controlled Trial.初级保健就诊时对老年人进行房颤筛查:VITAL-AF随机对照试验
Circulation. 2022 Mar 29;145(13):946-954. doi: 10.1161/CIRCULATIONAHA.121.057014. Epub 2022 Mar 2.
3
AI in health and medicine.
人工智能在医疗中的应用。
Nat Med. 2022 Jan;28(1):31-38. doi: 10.1038/s41591-021-01614-0. Epub 2022 Jan 20.
4
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.
5
Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation.临床与遗传风险模型预测心房颤动的准确性。
Circ Genom Precis Med. 2021 Oct;14(5):e003355. doi: 10.1161/CIRCGEN.121.003355. Epub 2021 Aug 31.
6
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke.深度神经网络可通过 12 导联心电图预测新发心房颤动,并有助于识别心房颤动相关卒中风险。
Circulation. 2021 Mar 30;143(13):1287-1298. doi: 10.1161/CIRCULATIONAHA.120.047829. Epub 2021 Feb 16.
7
Atrial Fibrillation.心房颤动
N Engl J Med. 2021 Jan 28;384(4):353-361. doi: 10.1056/NEJMcp2023658.
8
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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Population-Based Screening for Atrial Fibrillation.基于人群的心房颤动筛查。
Circ Res. 2020 Jun 19;127(1):143-154. doi: 10.1161/CIRCRESAHA.120.316341. Epub 2020 Jun 18.
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Mobile Health Technology to Improve Care for Patients With Atrial Fibrillation.移动医疗技术改善房颤患者的护理。
J Am Coll Cardiol. 2020 Apr 7;75(13):1523-1534. doi: 10.1016/j.jacc.2020.01.052.