The American College of Radiology (ACR)—a professional association representing nearly
40,000 diagnostic radiologists, interventional radiologists, nuclear medicine physicians …

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) …

The Radiological Society of North of America (RSNA) and the Medical Image Computing
and Computer Assisted Intervention (MICCAI) Society have led a series of joint panels and …

The past decade has borne witness to a remarkable transformation—the evolution of
artificial intelligence (AI) technology from engineering novelty to revolutionary instrument …

Medical applications of artificial intelligence (AI) are growing rapidly, projecting future utility
in healthcare, with new significant challenges to face. In this chapter, we provide basic …

In the ubiquitous media coverage of artificial intelligence (AI) and machine learning,
radiology has emerged as the poster child for professions that will potentially be rendered …

Editor: In the March 2020 issue of Radiology: Artificial Intelligence, Drs Mongan, Moy, and
Kahn proposed a thorough checklist (Checklist for Artificial Intelligence in Medical Imaging …

Abstract Purpose The ACR Data Science Institute conducted its first annual survey of ACR
members to understand how radiologists are using artificial intelligence (AI) in clinical …

Although recent scientific studies suggest that artificial intelligence (AI) could provide value
in many radiology applications, much of the hard engineering work required to consistently …

Radiology, as a highly technical and information-rich medical specialty, is well-suited for
artificial intelligence (AI) product development, and many FDA-cleared AI medical devices …