An international group of researchers found evidence of unique patterns of brain activity that may explain the neurological difference between consciousness and unconsciousness, according to a Feb. 6 study published in Science Advances.

In a special report published Jan. 30 in the inaugural issue of Radiology: Artificial Intelligence, Luciano M. Prevedello, MD, and colleagues recognize the challenges of implementing AI into clinical workflows, but also offer potential solutions—specifically image-based competitions—which could foster faster, more collaborative AI research.

Researchers used in vivo, two-photon imaging to identify a blood-clotting protein responsible for destroying the synapses in the brain—a precursor to cognitive decline, according to a Feb. 5 study published in Neuron.

The Massachusetts Institute of Technology (MIT)’s Laboratory for Computational Physiology has published their MIMIC-Chest X-Ray Database (MIMIC-CXR)—a collection of more than 350,000 chest x-rays associated with 227,943 imaging studies sourced from Beth Israel Deaconess Medical Center in Boston.

With the help of PET scans, researchers have found women’s brains appear to be three years younger than men’s. The findings, published in Proceedings of the National Academy of Sciences, may explain why women tend to remain mentally sharper longer than men.

The system, named Doctor Alzimov, after the Russian-born science fiction writer, can be installed on any computer and can find nodules as small as 2 millimeters.

In 2018, capital investments in startup companies developing medical imaging AI solutions reached almost $580 million—more than double the 2017 amount of $270 million, according to a new market report published Jan. 31 by Signify Research.

A 14-layer convolutional neural network (CNN) trained on MRI and pathology data accurately predicted the molecular subtype of breast cancers, according to a Jan. 31 study published in the Journal of Digital Imaging. The method may help personalize treatment plans for the disease.