As online learning options for radiology continue to grow, some students are turning to Second Life—a virtual community developed by its own users and reigned by avatars—to complete their medical education, researchers in Malaga, Spain, have found.

Deep learning and artificial intelligence (AI) are often associated with identifying nodules and classifying images, but a recent study found convolutional neural networks (CNNs) can be utilized in radiology workflows to determine musculoskeletal MRI protocols.

Calling the discovery of a new organ in the human body surprising is a bit of an understatement, but that's what a study published in Scientific Reports claims.

A team of Stony Brook University-led researchers in New York created a method using deep learning digital pathology to map cancerous immune cell patters that may help guide new cancer therapies.

Apple has hired John Giannandrea, Google’s chief of search and artificial intelligence (AI), to run their machine learning and AI strategy, according to the New York Times.

Ohio State University researchers have developed an artificial intelligence (AI) algorithm able to analyze a single brain CT scan in just six seconds, according to an article published online March 28 by the Lantern.

Brainomix, a U.K.-based medical imaging company focused on artificial intelligence (AI), announced Tuesday, April 3, that it has secured $9.8 million (£7 million) to help market its software for treating stroke victims throughout the world.

Eight members of the Association of University Radiologists Radiology Research Alliance Task Force on Deep Learning describe a radiologist-friendly overview examining past, present and future applications and how the field might benefit from embracing deep learning.