Letter from the Deputy Editor [0.03%]
副主编来信
Hamid Ghanbari
Hamid Ghanbari
Denise Dunlap,Eric Ding,Kristin Abramo et al.
Denise Dunlap et al.
Background: Point-of-care testing (POCT) has applications across medical specialties and holds promise to improve patient care. While cardiovascular medicine has been attractive for POCT applications in recent years, litt...
Analysis and postprocessing of ECG or heart rate data from wearable devices beyond the proprietary cloud and app infrastructure of the vendors [0.03%]
超越供应商专有云和应用程序基础设施的可穿戴设备心电图或心率数据的分析与后处理
Thomas Hilbel,Taha Alhersh,Wolfram Stein et al.
Thomas Hilbel et al.
Background: The impact of medical-grade wearable electrocardiographic (ECG) recording technology is increasing rapidly. A wide range of different portable smartphone-connected ECG and heart rate trackers is available on t...
John R Windle,Thomas A Windle,Ketemwabi Y Shamavu et al.
John R Windle et al.
Background: A decade after the Health Information Technology for Economic and Clinical Health (HITECH) Act, electronic health records (EHRs) largely remain poorly designed and contribute to clinician burnout. ...
Digital health tools to promote diabetes education and management of cardiovascular risk factors among under-resourced populations [0.03%]
促进糖尿病教育和心血管危险因素管理的数字健康工具——针对资源匮乏人群
Tenes Paul,Jordy Mehawej,Athena Philis-Tsimikas
Tenes Paul
Point-of-care screening for atrial fibrillation: Where are we, and where do we go next? [0.03%]
面向患者的房颤筛查：我们已经走了多远？接下来的目标又在哪里？
Jeffrey M Ashburner,Shaan Khurshid,Steven J Atlas et al.
Jeffrey M Ashburner et al.
Letter from the Deputy Editor [0.03%]
副主编来信
Hamid Ghanbari
Hamid Ghanbari
Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging-A systematic review [0.03%]
基于心脏磁共振成像的人工智能检测左心室瘢痕的诊断价值——系统性综述
Nikesh Jathanna,Anna Podlasek,Albert Sokol et al.
Nikesh Jathanna et al.
Background: Accurate, rapid quantification of ventricular scar using cardiac magnetic resonance imaging (CMR) carries importance in arrhythmia management and patient prognosis. Artificial intelligence (AI) has been applie...
Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy [0.03%]
SafeHeart研究的设计与原理：心律失常事件预测及植入式心脏除颤器治疗的移动健康工具的研发与测试
Diana M Frodi,Maarten Z H Kolk,Joss Langford et al.
Diana M Frodi et al.
Background: Patients with an implantable cardioverter-defibrillator (ICD) are at a high risk of malignant ventricular arrhythmias. The use of remote ICD monitoring, wearable devices, and patient-reported outcomes generate...