The technology can capture three-dimensional (3D) images of the entire human body at one bed position and requires 40-times less radiation than current methods, according to a recent press release.

Four-dimensional (4D) MRI with dynamic contrast-enhanced (DCE) sequencing is a reliable method for localizing parathyroid lesions, reported authors of a single-center study published in the European Journal of Radiology.

At the World Economic Forum in Davos, Switzerland, Alphabet CFO Ruth Porat detailed the significant impact artificial intelligence (AI) technologies are having on breast cancer care

There’s been plenty of hype around the potential of artificial intelligence (AI) to ease radiology workloads. And a new convolutional neural network approach detailed in a Jan. 22 study greatly reduced reporting backlog by accurately triaging chest x-rays in real-time.

On Jan. 6, medical imaging and three-dimensional (3D) printing went above and beyond when Eduardo Rodriguez, MD, a plastic surgeon and face transplant specialist at NYU Langone Medical Center in New York City, used the technologies to help him perform his third face transplant surgery, according to a recent report by Popular Science.

Researchers from the University of Queensland in Australia have developed “ultraprecise ultrasound” sensors that are sensitive enough to hear the formation of surrounding air molecules, according to new research published online Jan. 10 in Nature Communications.

Though more healthcare providers are using chatbots—or conversational AI—to connect with patients, the technology needs to improve in certain areas to earn the trust of its users and achieve widespread adoption, according to recent survey by UserTesting.

Healthcare, including imaging, is one of 13 industries that will soon be “revolutionized" by artificial intelligence (AI) and machine learning (ML) technologies, according to a new report published in Forbes.