A multi-institutional team of researchers has developed a new AI learning algorithm that can distinguish between low- and high-risk prostate cancer from multiparametric MRI (mpMRI) scans with higher sensitivity and predictive value than current risk assessment approaches, according to research published online Feb. 7 in the journal Scientific Reports.

Researchers have developed a new framework that uses machine learning to predict prostate cancer progression, according to new findings published in Scientific Reports.

Microsoft unveiled a new tool that allows healthcare organizations to create their own AI-powered chatbots and virtual assistants for various services.

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.