Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …

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

Healthcare, conceivably more than any other area of human endeavour, has the greatest
potential to be affected by artificial intelligence (AI). This potential has been shown by …

Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …

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

Although advances in information technology in the past decade have come in quantum
leaps in nearly every aspect of our lives, they seem to be coming at a slower pace in the field …

The computer science technology trend called artificial intelligence (AI) is not new. Both
machine learning and deep learning AI applications have recently begun to impact …

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 …

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 …

Rapid technological advances in non-invasive imaging, coupled with the availability of large
data sets and the expansion of computational models and power, have revolutionized the …