The role of physicians has always been to synthesize the data available to them to identify
diagnostic patterns that guide treatment and follow response. Today, increasingly …

Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …

Background Atherosclerotic plaque quantification from coronary CT angiography (CCTA)
enables accurate assessment of coronary artery disease burden and prognosis. We sought …

Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …

Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …

Background Atherosclerosis evaluation by coronary computed tomography angiography
(CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming …

With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …

Abstract Machine learning (ML) has been increasingly used within cardiology, particularly in
the domain of cardiovascular imaging. Due to the inherent complexity and flexibility of ML …

Artificial intelligence (AI) is making computer systems capable of executing human brain
tasks in many fields in all aspects of daily life. The enhancement in information and …