The integration of artificial intelligence in precision medicine has revolutionized healthcare
delivery. Precision medicine identifies the phenotype of particular patients with less-common …

Artificial intelligence (AI) has been developed for echocardiography,–, although it has not yet
been tested with blinding and randomization. Here we designed a blinded, randomized non …

Cardiological disorders contribute to a significant portion of the global burden of disease.
Cardiology can benefit from Big Data, which are generated and released by different …

Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …

Identifying the relationship between imaging features and genetic variation (a term coined
“imaging genomics”) offers valuable insight into the pathogenesis of cancer, as well as …

Background As diagnostic and prognostic models developed by traditional statistics perform
poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

The evaluation of coronary morphology provides important guidance for the treatment of
coronary heart disease (CHD). A chaotic Gaussian mutation antlion optimizer algorithm …

Background and aims DNA methylation is associated with gene silencing, but its clinical role
in cardiovascular diseases (CVDs) remains to be elucidated. We hypothesized that …

Background Changes in gene-specific promoter methylation may result from aging and
environmental influences. Atherosclerosis is associated with aging and environmental …