Cardiovascular diseases remain the leading cause of global mortality, underscoring the
critical need for accurate and timely diagnosis. This narrative review examines the current …

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …

This study aimed to investigate the diagnostic performance of machine learning-based
radiomics analysis to diagnose coronary artery disease status and risk from rest/stress …

In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is resha** the landscape of medicine, ushering in an era of collaborative …

Background Transthoracic echocardiography is the leading cardiac imaging modality for
patients admitted with COVID-19, a condition of high short-term mortality. The aim of this …

Data for healthcare is diverse and includes many different modalities. Traditional
approaches to Artificial Intelligence for cardiovascular disease were typically limited to …

In recent years, Artificial intelligence (AI) has become ubiquitous, empowering various fields,
especially integrating artificial intelligence and traditional science (AI for Science: Artificial …

Recent progress in digital health data recording, advances in computing power, and
methodological approaches that extract information from data as artificial intelligence are …

The tremendous advances in digital information and communication technology have
entered everything from our daily lives to the most intricate aspects of medical and surgical …

In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely
on data in a variety of formats. These formats comprise invasive angiography, laboratory …