Circadian rhythm in critically ill patients: Insights from the eICU Database [0.03%]
危重病患者的昼夜节律：来自eICU数据库的见解
Sebastian E Beyer,Catia Salgado,Ines Garçao et al.
Sebastian E Beyer et al.
Objective: To investigate the circadian variation among critically ill patients and its association with clinical characteristics and survival to hospital discharge in a large population of patients in the intensive care ...
Deep learning to estimate cardiac magnetic resonance-derived left ventricular mass [0.03%]
深度学习估算心脏磁共振衍生的左心室质量
Shaan Khurshid,Samuel Freesun Friedman,James P Pirruccello et al.
Shaan Khurshid et al.
Background: Cardiac magnetic resonance (CMR) is the gold standard for left ventricular hypertrophy (LVH) diagnosis. CMR-derived LV mass can be estimated using proprietary algorithms (eg, InlineVF), but their accuracy and ...
Why digital health trials can fail: Lessons learned from a randomized trial of health coaching and virtual cardiac rehabilitation [0.03%]
数字化健康试验为何会失败：一项关于健康辅导和虚拟心脏康复的随机对照试验的经验教训
Christoph B Olivier,Stephanie K Middleton,Natasha Purington et al.
Christoph B Olivier et al.
Background: We performed a trial to evaluate the efficacy of a blended intervention with personalized health coaching and virtual cardiac rehabilitation to improve medication adherence and risk factors. The trial was term...
Atrial fibrillation future clinic. Novel platform to integrate smart device electrocardiogram into clinical practice [0.03%]
用于临床实践的智能设备心电图集成新平台——房颤未来诊室
Cameron T Lambert,Divyang Patel,Joseph M Bumgarner et al.
Cameron T Lambert et al.
Background: Direct-to-consumer devices allow patients to record electrocardiograms (ECG) and detect atrial fibrillation (AF). Clinical adoption of these devices has been limited owing to the lack of efficient workflow. ...
Letter from the Editor-in-Chief [0.03%]
主编来信
David D McManus
David D McManus
Smartwatch diagnosis of atrial fibrillation in patient with embolic stroke of unknown source: A case report [0.03%]
不明原因栓塞性卒中患者使用智能手表诊断心房颤动的病例报告
Divyang Patel,Khaldoun G Tarakji
Divyang Patel
Prediction of premature ventricular complex origins using artificial intelligence-enabled algorithms [0.03%]
基于人工智能算法预测室性早搏起源部位
Tomofumi Nakamura,Yasutoshi Nagata,Giichi Nitta et al.
Tomofumi Nakamura et al.
Background: Catheter ablation is a standard therapy for frequent premature ventricular complex (PVCs). Predicting their origin from a 12-lead electrocardiogram (ECG) is crucial but it requires specialized knowledge and ex...
The use of a traditional nonlooping event monitor versus a loan-based program with a smartphone ECG device in the pediatric cardiology clinic [0.03%]
传统非循环事件监护仪与儿科心脏病门诊中基于贷款的智能手机心电图设备项目的使用比较
Mohmmad F Al-Mousily,George Hamilton Baker,Lanier Jackson et al.
Mohmmad F Al-Mousily et al.
Background: A smartphone-enabled device has been developed that provides a single-lead electrocardiogram using a portable monitor. The increase in direct-to-consumer medical devices may lead to health disparities affectin...
A virtual platform to deliver ambulatory care for patients with atrial fibrillation [0.03%]
面向心房颤动患者的门诊护理虚拟平台
Willy Weng,Chris Blanchard,Jennifer L Reed et al.
Willy Weng et al.
Background: There are little data on the use of virtual care for patients with arrhythmia. We evaluated a virtual clinic platform, in conjunction with specialist care, for patients with symptomatic atrial fibrillation (AF...
Changes in the digital health landscape in cardiac electrophysiology: A pre-and peri-pandemic COVID-19 era survey [0.03%]
心脏电生理领域数字医疗格局的改变：一项关于新冠疫情期间的调查研究
Janet K Han,Sana M Al-Khatib,Christine M Albert
Janet K Han
Background: Digital health is transforming healthcare delivery. Objective: To compare the current digital health landscape in select gr...