Mobile Apps for Heart Rate Variability: App Store Search and Content Analysis [0.03%]
心率变异性的移动应用程序：应用商店搜索与内容分析
Eline de Jager,Brian Caulfield,Evgenia Angelidi et al.
Eline de Jager et al.
Background: Heart rate variability (HRV) is a noninvasive indicator of autonomic nervous system activity that is increasingly used for health and performance monitoring. Digital and mobile technologies are increasingly pr...
Bidirectional Automated Texting for Cardiovascular Health Among People Living With HIV: Observational Cohort Analysis of a Stepped-Wedge Cluster Randomized Controlled Trial [0.03%]
艾滋病患者心血管健康双向自动短信交流： stepped-wedge 分层随机对照试验的观察队列分析
Mechelle Sanders,Donald Harrington,Emma Sass et al.
Mechelle Sanders et al.
Background: Feasible and potentially scalable strategies are needed to address the growing cardiovascular disease (CVD) risk among people living with HIV. Bidirectional automated texting (BAT) programs that remind and enc...
Randomized Controlled Trial
JMIR cardio. 2026 Jul 14:10:e69098. DOI:10.2196/69098 2026
Deep Neural Networks for Automatic Atrial Fibrillation Detection Using Long-Term Ambulatory Electrocardiography: Retrospective Diagnostic Accuracy Study [0.03%]
基于长期动态心电图的深度神经网络自动检测房颤回顾性诊断准确性研究
Jagdeep Sedha,Jukka A Lipponen,Antti Aho et al.
Jagdeep Sedha et al.
Background: Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, affects 2% to 4% of the global adult population and is associated with an increased risk of stroke. Early diagnosis of AF and atrial flutter (AF...
Impact of a Cloud-Based Care Coordination Platform on False Cardiac Catheterization Laboratory Activations and Unnecessary Team Mobilization: Retrospective Cohort Study [0.03%]
基于云的护理协调平台对虚假心脏导管实验室激活和不必要的团队调动的影响：回顾性队列研究
William Gibson,Dawoud Al Kindi,François Brouillette et al.
William Gibson et al.
Background: Rapid activation of the cardiac catheterization laboratory (CCL) for ST-segment elevation myocardial infarction (STEMI) is essential to minimize time to reperfusion. However, system-wide efforts to reduce trea...
Experiences of Patients With Atrial Fibrillation Using Technology to Personalize Self-Care Decision-Making: Interpretive Description Study [0.03%]
心房颤动患者的自我保健决策个性化技术使用体验：解释性描述研究
Kathy L Rush,Cherisse L Seaton,Alexandra Lukey et al.
Kathy L Rush et al.
Background: Atrial fibrillation (AF) is the most common sustained heart rhythm disorder and is a challenging chronic disease to manage. Patients' daily self-care decisions are associated with improved AF outcomes, quality...
Cardiac Telerehabilitation Using a Smartwatch and a Gamified Smartphone App: Single-Arm Pre-Post Feasibility Study [0.03%]
基于智能手表和游戏化智能手机应用程序的心脏病遥康复可行性研究：单组前后对照试验
Yusaku Arima,Toshiki Kaihara,Megumi Nakamura et al.
Yusaku Arima et al.
Background: Home-based cardiac rehabilitation (CR) using digital health technologies (ie, cardiac telerehabilitation [CTR]) has emerged as a practical alternative to conventional center-based CR, particularly during and a...
Patient Perceptions of a Digitally Enabled Community Health Worker Intervention: Qualitative Study Among Pilot Trial Participants [0.03%]
试点研究参与者对数字赋能社区卫生工作者干预措施的患者感知：定性研究
Jocelyn Carter,Natalia Swack,Narmeen Rehman et al.
Jocelyn Carter et al.
Background: Most studies assessing digital interventions for people with heart failure (HF) focus on clinical outcomes, and few include patient perspectives. Understanding patient experiences of the use of a digital HF pl...
Positive Psychological Well-Being and Determinants of Social Robot Acceptability Among Patients With Heart Failure: Cross-Sectional Questionnaire Study [0.03%]
积极心理幸福感和心力衰竭患者对社会机器人可接受性的决定因素：横断面问卷调查研究
Lisa-Marie Maukel,Karen Bouchard,Jess G Fiedorowicz et al.
Lisa-Marie Maukel et al.
Background: Social robots (SRs) are innovative tools in health care, offering both medical and psychological support for patients with heart failure (HF). For successful implementation, patient acceptability of SRs is cru...
Smartphone Ownership Among Cardiology Inpatients Pre-COVID-19 and Post-COVID-19 Pandemic: Secondary Analysis of Randomized Controlled Trials [0.03%]
新冠肺炎大流行前和大流行后心内科住院医师的智能手机拥有率：随机对照试验的二次分析
Sarah Badger,Praveen Indraratna,Jennifer Yu et al.
Sarah Badger et al.
Background: Mobile health (mHealth) interventions are increasing in popularity for the management of heart failure and coronary artery disease. The use of these interventions is dependent on rates of smartphone ownership....
Extracting Cardiorespiratory Symptoms From Clinical Notes Using Open-Weight Large Language Models: Method Development and Validation Study [0.03%]
基于开放权重的大规模语言模型提取临床记录中的心肺症状：方法研发与验证研究
Yunbing Bai,Wanting Cui,Joseph Finkelstein
Yunbing Bai
Background: Accurate identification of clinical symptoms and signs (S&S) is essential for the early detection of high-burden cardiorespiratory conditions, including lung cancer, chronic obstructive pulmonary disease, and ...