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...
Deep learning algorithm for detection of acute heart failure using standard ECG waveforms [0.03%]
基于标准心电图波形的急性心力衰竭深度学习检测算法
Sang Mee Lee,Taeyoung Kim,Mirae Shin et al.
Sang Mee Lee et al.
Aims: To develop and evaluate a deep learning model for immediate and accurate diagnosis of acute heart failure(HF) using standard 12-lead electrocardiogram(ECG) waveforms collected from a large cohort of patients. ...
Artificial intelligence-predicted ECG age gap as a biomarker: bias-adjusted correlation with mortality and cardiovascular risk factors [0.03%]
人工智能预测的ECG年龄差距作为生物标志物：与偏置调整后的死亡率和心血管风险因素的相关性
Myrte Barthels,Elisa Verhofstadt,Inigo Bermejo Delgado et al.
Myrte Barthels et al.
Aims: Artificial intelligence models can estimate a person's age from ECG. The gap between the predicted ECG age and chronological age, predicted age deviation (PAD), has been associated with cardiovascular risk factors a...
Generative pre-trained transformer reinforces historical gender bias in diagnosing women's cardiovascular symptoms [0.03%]
生成性预训练变压器强化了对女性心血管症状诊断的历史性别偏见
Katherine Krieger,Irbaz Hameed,Giorgio Quer et al.
Katherine Krieger et al.
Aims: Large language models (LLMs) such as GPT are increasingly used to generate clinical teaching cases and support diagnostic reasoning. However, biases in their training data may skew the portrayal and interpretation o...
Multi-modal deep-learning troponin prediction from electrocardiograms and demographic data [0.03%]
基于心电图和人口统计信息的多模态深度学习肌钙蛋白预测模型
Lukas Hilgendorf,Pétur Pétursson,Erik Andersson et al.
Lukas Hilgendorf et al.
Aims: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and management of cardiac conditions. Prompt diagnosis using these tools can significantly improve patient outcomes. ...
Unsupervised machine learning for identifying morphological phenotypes in abdominal aortic aneurysms using fully automated volume-segmented imaging: a multicentre cohort study [0.03%]
无监督机器学习在腹部主动脉瘤中识别形态表型的全自动化体积分割成像多中心队列研究
Michal Kawka,Caroline Caradu,Ruth Scicluna et al.
Michal Kawka et al.
Aims: Thrombo- and microembolic complications following abdominal aortic aneurysm (AAA) repair are hypothesized to be associated with wall thrombus burden. Fully automatic volume segmentation (FAVS) of imaging enables ext...
Smartphone application-based heart rhythm monitoring to cancel scheduled electrical cardioversion in patients with spontaneous conversion of presumed persistent atrial fibrillation: TeleConvert-AF [0.03%]
基于智能手机应用程序的心律监护以取消预约的电复律在房颤自发转复患者中的应用：TeleConvert-AF研究
Madelon D E A Engels,Astrid N L Hermans,Ben J M Hermans et al.
Madelon D E A Engels et al.
Aims: Patients with presumed persistent atrial fibrillation (AF) scheduled for electrical cardioversion (ECV) might have self-terminating AF to sinus rhythm (SR) while awaiting ECV, leading to unnecessary visits and healt...
Structuring telemonitoring in heart failure care in The Netherlands: design and operational protocol of a nationwide initiative [0.03%]
荷兰心力衰竭护理远程监控的实施：全国范围的一项设计与操作协议
Charell Jansen,Luuk C Otterspoor,Petra E J van Pol et al.
Charell Jansen et al.
Aims: Home telemonitoring systems (hTMS) have demonstrated positive effects on hospitalizations and mortality for patients with heart failure (HF). However, there is a high degree of heterogeneity in the development and i...
Optimizing lipid-lowering therapy for acute coronary syndrome using a decision support system: insights from a cluster randomized trial [0.03%]
基于群随机试验探讨决策支持系统优化急性冠脉综合征患者降脂治疗的效应研究
Christophe A T Stevens,Jessica Smith,Julia Brandts et al.
Christophe A T Stevens et al.
Aims: Lipid-lowering therapy (LLT) after acute coronary syndrome (ACS) typically follows stepwise intensification, delaying use of combination therapies and low-density lipoprotein cholesterol (LDL-C) goal attainment. We ...