Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

The electronic health record (EHR) represents a rich source of patient information,
increasingly being leveraged for cardiovascular research. Although its primary use remains …

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

Lithium metal is considered a promising anode material for lithium secondary batteries by
virtue of its ultra-high theoretical specific capacity, low redox potential, and low density, while …

Long-term pulse monitoring plays a vital role in the prevention and diagnosis of
cardiovascular diseases since pulse signals can provide rich characteristics of cardiac …

Objective Artificial intelligence (AI) detects heart disease from images of electrocardiograms
(ECGs). However, traditional supervised learning is limited by the need for large amounts of …

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 …

In the rapidly evolving landscape of modern healthcare, the integration of wearable and
portable technology provides a unique opportunity for personalized health monitoring in the …

Background: Current risk stratification strategies for heart failure (HF) risk require either
specific blood-based biomarkers or comprehensive clinical evaluation. In this study, we …

Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …