Watson, IBM’s highly touted artificial intelligence (AI) platform, might not be ready to make its rounds, according to an investigative report from STAT. The news outlet reviewed internal IBM documents that showed Watson often recommended unsafe treatment advice and incorrect recommendations, all while IBM was promoting the AI product to healthcare providers.

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.

The International Telecommunication Union (ITU) and World Health Organization (WHO) are converging for the global expansion of the use of artificial intelligence (AI) “to advance health for all worldwide.”

Artificial intelligence (AI) is an immensely popular topic in radiology, sparking countless discussions and debates about whether it will give radiologists a new tool for providing high-quality patient care or end up replacing them altogether.

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.