Substantial milestones have been attained in the field of heart failure (HF) diagnostics and
therapeutics in the past several years that have translated into decreased mortality but a …

Abstract Purpose of Review In this review, we sought to provide an overview of ML and
focus on the contemporary applications of ML in cardiovascular risk prediction and precision …

Identification of unknown cadavers is an important task for forensic scientists. Forensic
scientists attempt to identify skeletal remains based on factors including age, sex, and dental …

Purpose To describe and outline the role of artificial intelligence (AI) in assisting coronary
computed tomography angiography (CCTA) in enhancing risk stratification. Methods A …

For many acute and chronic pathologies, poor individual outcomes and overall statistics
reflect the current unsatisfactory state of healthcare. 1 Severe chronic pathologies such as …

Despite all the advancements in science, medical knowledge, healthcare, and the
healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity …

Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …

Melt Electrowriting (MEW) is a continuously growing manufacturing platform. Its advantage is
the consistent production of micro‐to nanometer fibers, that stack intricately, forming …

Abstract Machine learning (ML) techniques have shown great potential in cardiovascular
surgery, including real-time stenosis recognition, detection of stented coronary anomalies …

Using Artificial intelligence technologies in cardiology has witnessed rapid advancements
across various domains, fostering innovation and reshaping clinical practices. The study …