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.

A research team out of Russia says it has developed a new artificial intelligence (AI) system for treating lung cancer patients that can interpret CT results in 20 seconds.

At JFK Medical Center in Edison, New Jersey, patients can have a 360-degree, three-dimensional (3D) tour of the inside of their own bodies before surgery with the help of virtual reality technology at the center's Neuroscience Institute, USA Today’s MyCentralJersey.com reported on Jan. 31.

Recent research has suggested that artificial intelligence (AI) may be keeping students from considering radiology as a career. The author of a letter to the editor published in Academic Radiology, however, noted that interest in radiology appears to be growing. 

Oxipit, a medical imaging solutions manufacturer based out of Vilnius, Lithuania, announced that its ChestEye imaging suite has received CE certification.

A new three-dimensional (3D) imaging technique to analyze tissue samples allowed scientists to determine that pancreatic cancers can start and grow in two distinct ways, according to a Jan. 30 study published in Nature. The findings solve a question that’s plagued researchers for decades.

A team from Singapore demonstrated that an object detection convolutional neural network (CNN) could accurately detect and localize fractures on wrist x-rays, according to a Jan. 30 study published in Radiology: Artificial Intelligence. The method may be more verifiable than traditional CNNs.

GIBLIB, an Los Angeles-based streaming media platform, has launched a virtual reality (VR) app that provides an immersive operating room (OR) experience to medical students and physicians.