Businessman Vinod Khosla, co-founder of Sun Microsystems and a longtime venture capitalist, said this week that he thinks any radiologist still practicing in 10 years “will be killing patients every day.”

Assistive robots used in medical settings could inspire caregivers—familial as well as professional—to treat patients more empathetically and patiently, potentially improving outcomes.

A new three-dimensional (3D) tissue imaging technique can help scientists noninvasively study cells and may lead to improved treatments for a variety of diseases, according to research published in eLife.

Machine learning can help improve the overall performance of CT scans, reducing radiation exposure and boosting image quality, according to new findings published in Nature Machine Intelligence.

Machine learning could be a real game-changer for interventional radiology (IR) in the years ahead, according to a new analysis published in the American Journal of Roentgenology.

“Search for an aneurysm is one of the most labor-intensive and critical tasks radiologists undertake,” said co-senior author Kristen Yeom, MD, associate professor of radiology at Stanford University.

A new deep learning approach lowered radiation exposure from CT imaging while producing higher quality scans compared to traditional iterative reconstruction techniques, according to research published in Nature Machine Intelligence.

Tel Aviv, Israel-based Aidoc has received FDA approval for its new AI solution that helps specialists triage cervical spine fractures.