The American College of Radiology (ACR) Data Science Institute (DSI) has created a new resource for radiology researchers: a full list of FDA-cleared AI algorithms related to medical imaging.  

Hitachi’s newest CT solution, the SCENARIA View 128, has received FDA clearance and is now being installed at hospitals throughout the United States. Jason Miller, Hitachi’s executive director of radiology products, and Richard Pacenta, Hitachi’s executive director of sales, spoke with us about this exciting new solution and what the company has planned for RSNA 2019 in Chicago.

Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.

Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.

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.