One of the most promising areas of health innovation is the application of artificial
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …

Artificial intelligence (AI) has the potential to significantly disrupt the way radiology will be
practiced in the near future, but several issues need to be resolved before AI can be widely …

Artificial intelligence (AI) will continue to cause substantial changes within the field of
radiology, and it will become increasingly important for clinicians to be familiar with several …

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

Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with
possible positive and negative consequences. The integration of AI in radiology holds the …

Objectives Current trends in clinical radiography practice include the integration of artificial
intelligence (AI) and related applications to improve patient care and enhance research …

The critical importance of radiology as a profession and a service in the health care system
is massive. It is rare for a patient to pass through a hospital without requiring the opinion of a …

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 come to the forefront of conversation amongst radiologists.
Popular culture has often portrayed the far-fetched perils of AI eg sentient machines seeking …

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 …