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.  

A team at the University of Toronto has successfully developed artificial intelligence (AI) that helps automate the radiation therapy planning process, potentially saving radiologists from several days of work on just one patient.

The global market for artificial intelligence (AI) in medical imaging is expected to see significant growth in the years ahead, topping $2 billion by 2023, according to a new report from Signify Research.

RSNA announced Wednesday, August 1, that it has big plans for educating members about artificial intelligence (AI) and machine learning (ML) for 2018 and beyond.

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.

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.