Deep learning models can be trained to predict lymph node metastasis in breast cancer patients, according to new findings published in Radiology.

Radiology has undertaken many efforts to reduce patient exposure to radiation during imaging exams, and findings from a new report suggest those campaigns have made a significant impact.

AI can provide significant value to radiologists by sending urgent imaging studies to the top of their worklists, according to a new analysis published in Academic Radiology.

The rise of AI is one of radiology’s biggest trends of the last decade, a move that has energized some radiologists while worrying others.

The Washington Post revealed the last-minute decision—which occurred in 2017, but was never reported—in a story published Friday, Nov. 15. 

Google was hoping to release a massive dataset of chest x-rays to the public in 2017, but had to cancel at the last minute after receiving an urgent call from the National Institutes of Health (NIH).   

Engineers with two Midwest academic institutions have scored a grant from Health and Human Services to develop a new method of detecting breast cancer that could have a “profound” impact on diagnostics. 

The inappropriate use of imaging tests to assess headaches and lower back pain is an ongoing issue in Canada, one that’s contributing to ballooning care costs and long wait times.