Recent artificial intelligence (AI) advancements in cardiovascular care offer potential
enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on …

Heart failure (HF) with preserved ejection fraction (HFpEF) is an increasingly frequent form
and is estimated to be the dominant form of HF. On the other hand, HFpEF is a syndrome …

The development of robust artificial intelligence models for echocardiography has been
limited by the availability of annotated clinical data. Here, to address this challenge and …

Aim Heart failure with preserved ejection fraction (HFpEF) remains under‐diagnosed in
clinical practice despite accounting for nearly half of all heart failure (HF) cases. Accurate …

Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …

Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …

(HF) presenting with preserved ejection fraction (HFpEF) is still increasing globally, and
outcomes remain poor despite recent advances in treatment. 1 This may partially be …

An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …

Recent advancements in Artificial Intelligence (AI) have significantly influenced the field of
Cardiovascular Disease (CVD) analysis, particularly in image-based diagnostics. Our paper …

Heart failure with preserved ejection fraction (HFpEF) is a major healthcare problem that is
raising in prevalence. There has been a shift in HpEF management towards early diagnosis …