The Radiological Society of North America (RSNA) has launched new webinars and workshops aimed at educating radiologists, researchers and industry scientists about artificial intelligence (AI) and machine learning in medical imaging, according to an Aug. 2 RSNA press release.  

Developing a personalized radiation therapy plan can take days—time that many cancer patients are unwilling to wait. But researchers have developed a new automated artificial intelligence (AI) software that can do the job in 20 minutes.

An automated deep learning-based system can accurately evaluate knee joint cartilage to detect wear and injury, according to a recent Radiology study.

Endoscopic imaging experts have created an imaging catheter capable of producing higher quality images compared to traditional methods, researchers reported in a recent Nature Photonics study. The technique may improve cancer detection.

A new virtual-reality (VR) software to correct segmentation errors on MRI scans was found to be faster, more accurate and enjoyable compared to a more commonly used system, reported authors of a recent Journal of Digital Imaging study.

A flexible x-ray detector developed by researchers at the University of Surrey's Advanced Technology Institute in the U.K. could lead to the development of other real-time imaging machines that would decrease screening errors and harm to patients.

According to the world of Twitter, the implementation of artificial intelligence (AI) in radiology renders an overwhelmingly positive response and is joined with arguments against AI potentially replacing radiologists, wrote authors Julia Goldberg, and Andrew Rosenkrantz, MD, in a piece published July 23 in Current Problems in Diagnostic Radiology.

A specialized x-ray diffraction lab at the Illinois Institute of Technology (IIT) in Chicago is using fiber diffraction, allowing scientists to study structural tissue changes in the human heart, brain and even dinosaur fossils. The technique may help physicians track injury-related tissue damage and identify risk areas, according to an American Crystallographic Association release from July 22.