Abstract Machine learning has immense novel but also disruptive potential for medicine.
Numerous applications have already been suggested and evaluated concerning …

The aging population in Europe faces a substantial burden from dementia, with vascular
cognitive impairment and dementia (VCID) being a preventable cause. Atrial fibrillation (AF) …

The functioning of the heart rhythm can exhibit a wide variety of dynamic behaviours under
certain conditions. In the case of rhythm disorders or cardiac arrhythmias, the natural rhythm …

Background Atrial fibrillation (AF), the most common cardiac arrhythmia, is often
undiagnosed because of lack of awareness and frequent asymptomatic presentation. As AF …

植入心脏植入式电子设备可以检测心房高频事件发生, 也可以增加心房高频事件的发病率.
心房高频事件与卒中的风险增加相关, 但是关于早期识别心房高频事件的危险因素或预测因子的 …

Background Recent study has shown that the transient receptor potential vanilloid 2
(TRPV2) channel was exclusively upregulated in patients with atrial fibrillation (AF), and that …

Biological systems are highly complex, so understanding them requires extensive analysis.
Cardiac rhythms are one such analysis. These rhythms are linked to a complex dynamic …

Atrial fibrillation (AF) is a prevalent cardiac condition predominantly affecting older adults,
characterized by irregular heartbeat rhythm. The condition often leads to significant disability …

Background The objective of this study was to use machine learning algorithms to construct
predictive models for atrial fibrillation (AF) in elderly patients with coronary heart disease …

Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential
enhancements in diagnosis, prediction, treatment, and outcomes. This article aims to …