Researchers have found a new method utilizing established data sets and a machine learning algorithm that can outperform traditional methods of diagnosing autism spectrum disorders (ASD) in young children, which could improve accuracy in early diagnosis.

A group at Vanderbilt University in Nashville is developing a helmet that would use ultrasound brain technology to produce real-time images with novel implications for surgery guidance and robotics, according to a university press release.

A team of U.S. researchers utilized brain imaging to find problems in white matter connectivity in infants with the genetic neurodevelopment disorder Fragile X syndrome (FXS), pointing to the areas as possible targets for intervention.

A team of researchers found that postmortem computed tomography (CT) angiography detects more lesions in a human corpse than a standard CT or autopsy examination, according to a forensic multicenter study published May 1 in Radiology.

The emergence of advanced breast screening technologies has helped lower mortality rates. But some question if existing disparities among vulnerable populations will only get worse, according to a recent study published in the May issue of Academic Radiology.

3D ultrasound (US) was determined to be as accurate as 2D US in diagnosing development dysplasia of the hip (DDH), a recent study found, with the 3D variety reducing the need for follow-up imaging by more than two-thirds.

Charles E. Kahn Jr., MD, MS, professor and vice chair of the department of radiology at the University of Pennsylvania’s Perelman School of Medicine in Philadelphia, has been named the editor of RSNA’s new online journal, Radiology: Artificial Intelligence.

Automated and clinical breast density evaluation methods are equally accurate in predicting a patient’s risk of breast cancer, according to a new study published in Annals of Internal Medicine.