Abstract Background and Purpose Artificial intelligence (AI) algorithms, particularly deep
learning, have made significant strides in image recognition and classification, providing …

Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

A survey among the members of European Society of Radiology (ESR) was conducted
regarding the current practical clinical experience of radiologists with Artificial Intelligence …

Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater
number of radiologists are becoming AI-literate. However, the adoption and implementation …

Background Traumatic musculoskeletal injuries are a common presentation to emergency
care, the first-line investigation often being plain radiography. The interpretation of this …

The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly
radiologists) will become redundant. It is still moot as to whether AI will replace radiologists …

Artificial intelligence is dramatically transforming medical imaging. In Saudi Arabia, there are
a lack of studies assessing the level of artificial intelligence use and reliably determining the …

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 …

There can be little doubt that the introduction and growth of artificial intelligence (AI)
applications in radiology represents one of the most exciting and yet potentially disruptive …

Abstract Introduction Implementation of Artificial Intelligence (AI) into medical imaging is
much debated. Diagnostic Radiographers (DRs) and Radiation Therapists (RTTs) are at the …