Exercise Testing and Artificial Intelligence as Allies in Improving the Detection and Diagnosis of Long QT Syndrome-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Exercise Testing and Artificial Intelligence as Allies in Improving the Detection and Diagnosis of Long QT Syndrome

Published:2024-03 Issue:1 Volume:2 Page:175-176
ISSN:2949-7612
Container-title:Mayo Clinic Proceedings: Digital Health
language:en
Short-container-title:Mayo Clinic Proceedings: Digital Health

Author:

Harvey Audrey,Curnier Daniel,Caru Maxime^ORCID

Publisher

Elsevier BV

Reference5 articles.

1. Artificial intelligence in diagnosis of long QT syndrome: a review of current state, challenges, and future perspectives;Dehkordi;Mayo Clin Proc Digit Health,2024

2. The influence of exercise and postural changes on ventricular repolarization in the long QT syndrome: a systematic scoping review;Harvey;Eur J Prev Cardiol,2022

3. Utility of the recovery electrocardiogram after exercise: a novel indicator for the diagnosis and genotyping of long QT syndrome?;Chattha;Heart Rhythm,2010

4. Derivation and validation of a simple exercise-based algorithm for prediction of genetic testing in relatives of LQTS probands;Sy;Circulation,2011

5. QTc Behavior during exercise and genetic testing for the long-QT syndrome;Schwartz;Circulation,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3