Association of echocardiographic findings with mortality: human assessment vs. automated deep learning analysis [0.03%]
超声心动图表现与死亡率的关系：人工判读和自动化深度学习分析的区别
Roei Merin,Moran Gvili Perelman,Hila Merin et al.
Roei Merin et al.
Aims: Artificial intelligence (AI) has emerged as a promising tool for echocardiographic image analysis, potentially improving efficiency and reducing inter-observer variability. Real-world comparisons between AI-based an...
The effect of AI-assisted bedside echocardiography on inpatient care: a prospective trial [0.03%]
人工智能辅助床旁超声心动图对住院患者护理的影响：一项前瞻性试验
Shir Frydman,Ophir Freund,Rose Miller et al.
Shir Frydman et al.
Aims: Focused cardiac ultrasound (FoCUS) can yield valuable information for decision-making. However, it is limited by the skills required to acquire and interpret high-quality images. Machine learning algorithms can help...
Artificial intelligence for atrial fibrillation prediction while in sinus rhythm: a narrative review [0.03%]
窦性心律下房颤预测的人工智能方法：综述研究
Javier Saiz-Vivo,Niranjan Chakravarthy,Wilbert Hsien Hao Ho et al.
Javier Saiz-Vivo et al.
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia affecting over 50 million individuals worldwide, with serious complications including stroke and heart failure. Detecting AF in patients who present with normal sinus rhythm (SR) is...
Optimizing diagnostic resource use in suspected chronic coronary syndrome: pre-test probability and acoustic CAD rule-out in the FILTER-SCAD trial [0.03%]
FILTER-SCAD试验中疑似慢性冠状动脉综合征诊断资源使用的优化：试验前概率和声学CAD排除规则
Louise Hougesen Bjerking,Kim Wadt Skak-Hansen,Merete Heitmann et al.
Louise Hougesen Bjerking et al.
Aims: The FILTER-SCAD trial combined pre-test-probability (PTP) and the FDA-cleared coronary artery disease (CAD)-Score System to guide and improve deferred testing in suspected chronic coronary syndrome (CCS). However, a...
Safety and effectiveness of remote monitoring and prioritization of patients awaiting transcatheter aortic valve implantation: a propensity-matched prospective observational cohort study [0.03%]
经导管主动脉瓣植入术患者的远程监控及其优先排序的安全性和有效性：倾向匹配的前瞻性观察队列研究
Mihir A Kelshiker,Karanjot Chhatwal,Patrik Bachtiger et al.
Mihir A Kelshiker et al.
Aims: Health systems face increasing waiting times for transcatheter aortic valve implantation (TAVI), incurring excess deaths and morbidity. To determine whether remote patient monitoring (RPM) using connected technologi...
Impact and safety of remote monitoring of heart failure patients managed with the HeartLogic algorithm: the HeartLogic France Cohort Study [0.03%]
HeartLogic法国队列研究：HeartLogic算法管理的心力衰竭患者的远程监控的影响和安全性
Rodrigue Garcia,Daniel Gras,Jacques Mansourati et al.
Rodrigue Garcia et al.
Aims: HeartLogic, an algorithm in implanted devices, predicts heart failure (HF) episodes via a remotely monitored index, aiding proactive congestion treatment to prevent acute decompensation. This study assessed the effi...
Remote monitoring and digital triage in patients awaiting TAVI: from feasibility to implementation [0.03%]
经导管主动脉瓣植入术等待患者远程监测和数字分诊：从可行性到实施
Ioannis Skalidis,Mario Togni,Stephane Cook
Ioannis Skalidis
Battling complexity with complexity: why multi-modal artificial intelligence may be the key to atrial fibrillation prediction [0.03%]
以复杂应对复杂：多模态人工智能可能是房颤预测的关键
Emma Svennberg,Ramesh Nadarajah
Emma Svennberg
Digital twins and simulations in transcatheter coronary and structural heart interventions [0.03%]
经导管冠状动脉和结构性心脏病干预治疗中的数字孪生与模拟技术
Ioannis Skalidis,Nikolaos Stalikas,Carlos Collet et al.
Ioannis Skalidis et al.
Digital twin technology, which enables the creation of patient-specific virtual models, is increasingly applied in interventional cardiology to support personalized procedural planning and risk assessment. This review examines current appli...