Cardiac imaging plays an important role in the diagnosis of cardiovascular disease (CVD).
Until now, its role has been limited to visual and quantitative assessment of cardiac structure …

In this current digital landscape, artificial intelligence (AI) has established itself as a powerful
tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge …

Cardiovascular imaging technologies continue to increase in their capacity to capture and
store large quantities of data. Modern computational methods, developed in the field of …

There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning
and deep learning approaches in cardiovascular (CV) medicine. In the era of modern …

Introduction: Non-invasive imaging plays a critical role in managing patients with
cardiovascular disease. Although subjective visual interpretation remains the clinical …

Artificial intelligence (AI) using machine learning techniques will change healthcare as we
know it. While healthcare AI applications are currently trailing behind popular AI …

Artificial intelligence (AI) has influenced every field of cardiovascular imaging in all phases
from acquisition to reporting. Compared with computed tomography and magnetic …

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) is becoming a vital concept in medicine leading to a rapid
emergence of important tools for medical diagnostics. Now, as a crucial machine learning …

Importance Artificial intelligence (AI), driven by advances in deep learning (DL), has the
potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its …