Background: The American Heart Association, in conjunction with the National Institutes of
Health, annually reports the most up-to-date statistics related to heart disease, stroke, and …

The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Accompanying the aging of populations worldwide, and increased survival with chronic
diseases, the incidence and prevalence of atrial fibrillation (AF) are rising, justifying the term …

The paper focuses on the construction of an artificial intelligence-based heart disease
detection system using machine learning algorithms. We show how machine learning can …

Background Cardiovascular diseases kill approximately 17 million people globally every
year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) …

Summary Each year, the American Heart Association (AHA), in conjunction with the National
Institutes of Health and other government agencies, brings together in a single document the …

Coronary artery calcium (CAC) is a highly specific feature of coronary atherosclerosis. On
the basis of single-center and multicenter clinical and population-based studies with short …

Background Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of
preventative cardiology. Risk prediction models currently recommended by clinical …

Early diagnosis has been proved to improve survival rate of lung cancer patients. The
availability of blood-based screening could increase early lung cancer patient uptake. Our …

Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML),
which is a subset of AI wherein machines autonomously acquire information by extracting …