MRI, for all it can do, has many design limitations—but an NYU School of Medicine team recently created an MRI device that users can slip on like a glove to produce high quality images of moving joints.

A team from the Wellcome Sanger Institute in the United Kingdom, the University of Otago in New Zealand and the Helmholtz Institute for RNA-based Infection Research in Germany has developed a machine learning tool capable of detecting strains of salmonella before they cause bloodstream infections. Findings were published May 8 in PLOS Genetics.

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.