Researchers have used AI to gain additional insight from the brain MRI scans of multiple sclerosis (MS) patients, sharing their findings in Nature Digital Medicine.

Artificial neural networks (ANNs) can help radiologists classify pure ground glass opacities (GGOs), according to a new study published in Clinical Imaging. But they shouldn't rely solely on AI-produced findings.

Artificial neural networks (ANNs) can help radiologists classify ground-glass opacities (GGO) with improved accuracy, according to new findings published in Clinical Radiology.

Augmented datasets can improve the overall accuracy of deep convolutional neural networks (DCNNs), according to new findings published in Clinical Radiology.

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.