Biopsy clips can outperform conventional wires for localizing breast cancers, as the former may boost utilization of ultrasound guidance for tumor resection, in the process minimizing patient discomfort while helping control costs.

RSNA 2019 in Chicago is just days away, and the continued evolution of AI in radiology promises to be one of the hottest topics of the entire conference.

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).