Artificial intelligence augments detection accuracy of cardiac insertable cardiac monitors: Results from a pilot prospective observational study [0.03%]
人工智能可提高心脏植入式监护仪检测准确度：一项前瞻性观察研究的结果
Fabio Quartieri,Manuel Marina-Breysse,Annalisa Pollastrelli et al.
Fabio Quartieri et al.
Background: Insertable cardiac monitors (ICMs) are indicated for long-term monitoring of patients with unexplained syncope or who are at risk for cardiac arrhythmias. The volume of ICM-transmitted information may result i...
Preventing preventable strokes: A study protocol to push guideline-driven atrial fibrillation patient education via patient portal [0.03%]
预防可预防的中风：通过患者门户推广循证房颤患者教育的研究方案
Michael Fitzpatrick,Hammad Sadiq,Sanjeev Rampam et al.
Michael Fitzpatrick et al.
Background: The main approach to preventing stroke in patients with atrial fibrillation (AF) is anticoagulation (AC), but only about 60% of at-risk individuals are on AC. Patient-facing electronic health record-based inte...
Building a hybrid virtual cardiac rehabilitation program to promote health equity: Lessons learned [0.03%]
构建混合虚拟心脏康复计划以促进健康公平性：经验教训
Trent Johnson,Nino Isakazde,Lena Mathews et al.
Trent Johnson et al.
Assessment of freely available online videos of cardiac electrophysiological procedures from a shared decision-making perspective [0.03%]
从共同决策的角度评估免费在线心脏电生理学程序的视频质量
Indiresha Iyer,Amogh Iyer,Pooja Kanthawar et al.
Indiresha Iyer et al.
Background: Physicians recommend electrophysiological (EP) procedures to patients with arrhythmic risk. This involves shared decision-making (SDM). Patients increasingly search for additional information online. Freely av...
Deep learning on resting electrocardiogram to identify impaired heart rate recovery [0.03%]
基于静息心电图的心率恢复障碍的深度学习识别技术
Nathaniel Diamant,Paolo Di Achille,Lu-Chen Weng et al.
Nathaniel Diamant et al.
Background and objective: Postexercise heart rate recovery (HRR) is an important indicator of cardiac autonomic function and abnormal HRR is associated with adverse outcomes. We hypothesized that deep learning on resting ...
Performance of the imPulse device for the detection of atrial fibrillation in hospital settings [0.03%]
检测住院环境中房颤的imPulse设备性能
Sinéad T J McDonagh,Shelley Rhodes,Fiona C Warren et al.
Sinéad T J McDonagh et al.
Background: Atrial fibrillation (AF) increases thromboembolism and stroke risk; this can be reduced by oral anticoagulation, but only if AF is detected. A portable, point-of-care device, capable of accurately detecting an...
Letter from the Editor [0.03%]
主编来信
David D McManus
David D McManus
Machine learning of microvolt-level 12-lead electrocardiogram can help distinguish takotsubo syndrome and acute anterior myocardial infarction [0.03%]
微伏级12导联心电图的机器学习有助于区分应激性心肌病和急性前壁心梗
Masato Shimizu,Makoto Suzuki,Hiroyuki Fujii et al.
Masato Shimizu et al.
Background: Qualitative differences in 12-lead electrocardiograms (ECG) at onset have been reported in patients with takotsubo syndrome (TTS) and acute anterior myocardial infarction (Ant-AMI). We aimed to distinguish the...
Expanding telehealth through technology: Use of digital health technologies during pediatric electrophysiology telehealth visits [0.03%]
儿科电生理学远程医疗访视中的数字健康技术应用：利用技术扩展远程医疗服务
Lisa Roelle,Juliana Ocasio,Lauren Littell et al.
Lisa Roelle et al.
Detecting early physiologic changes through cardiac implantable electronic device data among patients with COVID-19 [0.03%]
新型冠状病毒感染患者心脏植入式电子装置数据的早期生理变化检测研究
Meghan Reading Turchioe,Rezwan Ahmed,Ruth Masterson Creber et al.
Meghan Reading Turchioe et al.
Background: Cardiac implantable electronic devices (CIEDs) may enable early identification of COVID-19 to facilitate timelier intervention. Objective: ...