Researchers have developed a process to build soft materials on a millimeter scale that may help small robots gain access to unreachable places inside the human body for medical procedures. 

Researchers developed artificial intelligence (AI) software to identify colorectal tumor in histology images.

Researchers from South Korea have used artificial intelligence (AI) to successfully identify tumors in histology images obtained from colorectal cancer (CRC) patients, sharing their findings in the Journal of Digital Imaging.

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.