Pilot clinical evaluation of artificial intelligence-driven guiding catheter simulation for optimizing percutaneous coronary intervention [0.03%]
基于人工智能的导管室模拟引导经皮冠状动脉介入治疗的临床评估研究
Masataka Yoshinaga,Hirooki Higami,Eiichi Watanabe et al.
Masataka Yoshinaga et al.
Aims: In percutaneous coronary intervention (PCI), a suboptimal choice of guiding catheter may compromise coaxial alignment and backup support, prolonging procedures and increasing radiation and contrast exposure. We asse...
Artificial intelligence-enhanced ECG score for perioperative risk assessment in non-cardiac surgery [0.03%]
基于人工智能的心电图评分在非心脏手术围术期风险评估中的应用研究
Hong-Mi Choi,Yerin Kim,Joonghee Kim et al.
Hong-Mi Choi et al.
Aims: The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in noncardiac surgery due to its low prognostic value. We aimed to evaluate the utility of an AI-enabled ECG (QCG-Critical s...
Computed tomography-derived biomechanical simulations as a proof-of-concept tool for evaluating coronary dynamics in anomalous aortic origin of coronary arteries [0.03%]
基于CT的生物力学模拟作为评估冠状动脉异常起源的验证概念工具
Antonio Rosato,Serena Anglese,Michele Conti et al.
Antonio Rosato et al.
Aims: We aim to explore whether biomechanical simulations can identify coronary compression sites and support pre-operative assessment as a proof-of-concept approach in subjects with anomalous aortic origin of a coronary ...
Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot [0.03%]
人工智能心电图模型在法洛四联症术后右室重塑中的构建及多中心验证研究
Son Q Duong,Akhil Vaid,Pengfei Jiang et al.
Son Q Duong et al.
Aims: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repaired tetralogy of Fallot (TOF), but access to CMR is uneven, and compliance is poor. We developed a 12-lead electrocardiog...
Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications [0.03%]
基于大规模语言模型的结构化心血管数据提取：可扩展研究和临床应用的基础
Wouter van der Loo,Viktor van der Valk,Tim van den Broek et al.
Wouter van der Loo et al.
Aims: Automated extraction of information from cardiac reports would benefit both clinical reporting and research. Large language models (LLMs) hold promise for such automation, but their clinical performance and practica...
Deep learning for estimating right ventricular function from routine coronary angiography [0.03%]
基于常规冠状动脉造影的深度学习右心室功能评估方法
Behrouz Rostami,Puskar Bhattarai,Abdullah Al-Abcha et al.
Behrouz Rostami et al.
Aims: Coronary angiography might contain clinically relevant information, beyond its traditional role in delineating coronary artery disease. We sought to explore the role of deep learning (DL) in detecting right ventricu...
Signal artefacts in wearable-based biosignal acquisition in patients with ventricular assist devices: the SMART-VADCH trial [0.03%]
基于可穿戴设备的心室辅助装置患者生物信号采集中的伪差：SMART-VAD CH试验
Emanuel Heil,Luise Roehrich,Lena Reichert et al.
Emanuel Heil et al.
Aims: Telemonitoring is increasingly used in cardiovascular care, yet data on the reliability of smartwatch-based biosignal acquisition in patients with advanced heart failure and LVAD support remain limited. This study e...
Prediction models for incident stroke in the community: a systematic review and meta-analysis of predictive performance [0.03%]
社区卒中事件预测模型的系统评价和-meta-分析
Mohammad Haris,Elizabeth Romer,Tanina Younsi et al.
Mohammad Haris et al.
Aims: Stroke is the second leading cause of death and the third leading cause of disability worldwide. We performed a systematic review and meta-analysis of multivariable models applicable to the prediction of incident st...
Artificial-intelligence-enabled digital stethoscope improves point-of-care screening for moderate-to-severe valvular heart disease [0.03%]
人工智能听诊器改善中重度瓣膜性心脏病的筛查
Moshe Rancier,Igor Israel,Vimalson Monickam et al.
Moshe Rancier et al.
Aims: Valvular heart disease (VHD) can affect more than one in two adults over 65 yet remains underdiagnosed due to the limitations of traditional auscultation. Earlier detection is critical for improving outcomes, but ma...
Joshua J Hon,Gerald Carr-White
Joshua J Hon