The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …

To raise the quality of clinical artificial intelligence (AI) prediction modelling studies in the
cardiovascular health domain and thereby improve their impact and relevancy, the editors …

The artificial intelligence (AI) revolution is well underway, including in the medical field, and
has dramatically transformed our lives. An understanding of the basics of AI applications …

The development of artificial intelligence (AI) began in the mid-20th century but has been
rapidly accelerating in the past decade. Reflecting the development of digital health over the …

Cardiovascular diseases exert a significant burden on the healthcare system worldwide.
This narrative literature review discusses the role of artificial intelligence (AI) in the field of …

Artificial intelligence (AI) has begun to permeate and reform the field of medicine and
cardiovascular medicine. Impacting about 100 million patients in the United States, the …

This review examines the current state and application of artificial intelligence (AI) and
machine learning (ML) in cardiovascular medicine. AI is changing the clinical practice of …

Cardiovascular disease (CVD) is the principal cause of mortality and morbidity globally. With
the pressures for improved care and translation of the latest medical advances and …

Machine learning is often perceived as a sophisticated technology accessible only by highly
trained experts. This prevents many physicians and biologists from using this tool in their …

Artificial intelligence (AI) is a field of computer science that aims to mimic human thought
processes, learning capacity, and knowledge storage. AI techniques have been applied in …