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 …

Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …

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), machine learning, and deep learning are terms now seen
frequently, all of which refer to computer algorithms that change as they are exposed to more …

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

Advances in machine learning in medical imaging are occurring at a rapid pace in research
laboratories both at academic institutions and in industry. Important artificial intelligence (AI) …

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

Radiologists today are under increasing work pressure. We surveyed radiologists in the
United States across practice settings, and the overwhelming majority reported an increased …

Radiology has witnessed the introduction of amazing new discoveries such as ultrasound,
CT, MRI, and PET. These technologies have vastly improved the care of patients across the …

The emergence of massively parallel yet affordable computing devices has been a game
changer for research in the field of artificial intelligence (AI). In addition, dramatic investment …