Rapid technological advancements in artificial intelligence (AI) methods have fueled
explosive growth in decision tools being marketed by a rapidly growing number of …

Worldwide interest in artificial intelligence (AI) applications, including imaging, is high and
growing rapidly, fueled by availability of large datasets (“big data”), substantial advances in …

Objectives This paper will outline the status and basic principles of artificial intelligence (AI)
in radiography along with some thoughts and suggestions on what the future might hold …

Artificial intelligence (AI) is the most recent development in a long series of disruptive
technological innovations in radiology. Medical imaging began in the late 1800s after the …

DESCRIPTION OF THE PROBLEM: NEGLECT OF PATIENT'S PERSPECTIVE ON
ARTIFICIAL INTELLIGENCE USE IN RADIOLOGY Artificial intelligence (AI) refers to the …

The increasingly realistic prospect of artificial intelligence (AI) playing an important role in
radiology has been welcomed with a mixture of enthusiasm and anxiousness. A consensus …

Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …

Artificial intelligence (AI) is a broad umbrella term used to encompass a wide variety of
subfields dedicated to creating algorithms to perform tasks that mimic human intelligence. As …

Artificial intelligence (AI) has been heralded as the next big wave in the computing
revolution and touted as a transformative technology for many industries including health …

As artificial intelligence (AI) is finding its place in radiology, it is important to consider how to
guide the research and clinical implementation in a way that will be most beneficial to …