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

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 rapid rise of AI could potentially change healthcare forever, leading to faster diagnoses and allowing providers to spend more time communicating directly with patients. According to a new report from the Brookings Institution, however, there are also risks associated with AI in healthcare that must be addressed.

Electronic health records received an 'F' rating from Yale researchers who analyzed and rated the technologies on quality and efficiency.

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).   

Ultromics, a U.K.-based healthcare technology company, has gained FDA clearance for its new AI-powered image analysis solution.

Machine learning can help predict the life expectancy of heart failure patients, according to new research published in the European Journal of Heart Failure.