A combined deep learning method better detected hemorrhages and identified different subtypes of intracranial hemorrhage than single algorithms used alone, according to a new study published in the Journal of Digital Imaging.

The development and use of robotic systems in healthcare is expected to surge over the next several years thanks to continuous technological advances, according to a report by BIS Research. The market intelligence firm predicts the global healthcare robotics market will reach $11.4 billion by 2025.

Researchers at Boston University in Massachusetts have developed an imaging technique that, by using a photograph captured with a digital camera, can reconstruct the position of an opaque object and its surroundings when both are out of direct sight, according to a recent report by Nature. 

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.