Researchers from Stanford University in California have published a large, public dataset containing more than 224,000 chest x-rays from more than 65,000 patients to train AI algorithms. The team also announced a competition inviting developers to submit their chest x-ray interpretation models to detect pathologies more accurately than certified radiologists. 

Using fMRI, a team of researchers discovered combat veterans with severe post-traumatic stress disorder (PTSD) demonstrate distinct patterns in how their brain and body respond to learning danger and safety. The study may help explain why some experience more severe symptoms than others.

Researchers at Northwestern University in Evanston, Illinois have developed a noninvasive, three-dimensional (3D) imaging tool able to capture blood flow and oxygenation within the capillaries of a human, according to research published in the journal Light: Science & Applications. The technique could help detect conditions from headaches to cardiovascular disease, sooner.

In an effort to destigmatize mental illness and help patients find better treatments, researchers from Virginia Tech’s Fralin Biomedical Research Institute in Roanoke, Virginia trained a machine learning algorithm with brain fMRI scans to diagnosis mental disorders more accurately than standard methods, according to a recent report by The Verge.

“Students rely on us to understand how radiology is incorporating new technology and what the future of the field will look like for them, but many of us are ill prepared to teach the younger generation about this, mostly because we ourselves are not sure,” Allison Grayev, MD, wrote in an editorial published in Academic Radiology. 

A combined deep learning method better detected hemorrhages and identified different subtypes of intracranial hemorrhage than single algorithms used alone, according to a new study published in the Journal of Digital Imaging.

Researchers at Boston University in Massachusetts have developed an imaging technique that, by using a photograph captured with a digital camera, can reconstruct the position of an opaque object and its surroundings when both are out of direct sight, according to a recent report by Nature. 

The technology can capture three-dimensional (3D) images of the entire human body at one bed position and requires 40-times less radiation than current methods, according to a recent press release.