Artificial intelligence (AI) is sure to change radiology, but a recent feature in IEEE Spectrum argues its true effect on medicine will be felt not in imaging, but in the pathology lab.

A three-dimensional (3D) deep residual network accurately detected and classified cerebral microbleeds (CMBs) on susceptibility-weighted magnetic resonance images (SWIs), reported a team of San Francisco-based researchers.

There is relatively little understood about infant brain development. A team of Finnish researchers sought to explore the brain structures of newborns in a new study published in Brain Structure & Function.

Sunrise, Florida-based medical group Mednax announced it is launching an artificial intelligence (AI) incubator focused on creating innovative radiology solutions.

Using a variation of an unconventional imaging approach called “ghost imaging," an international team of researchers has successfully taken low dose three-dimensional (3D) x-ray images which may help make screening for early signs of diseases and cancer cheaper, safer and more accessible.

Tech company Amazon has launched a new medical language processing service that, by using artificial intelligence (AI), can extract data from patient records and reports to help healthcare professionals make better treatment decisions, address data privacy and decrease overall costs, according to a report published Nov. 28 by TechCrunch.

Using fMRI, researchers found that brain regions associated with impulsivity were altered in men who are addicted to video games, according to new findings presented Nov. 28 at RSNA 2018.

A novel imaging technology—magnetoencephalography (MEG)—allows scientists to measure levels of iron-based minerals in the brain, which may provide insight into neurodegenerative disorders such as Alzheimer’s disease, reported researchers from Massachusetts General Hospital (MGH) in Boston.