Tau levels found in concussed former athletes may help predict who will ultimately suffer from long-term effects of blows to the brain, according to a new study published in Neurology.

NVIDIA and King’s College London have announced a new partnership focused on developing a new artificial intelligence (AI) platform to improve radiology workflows.

Four-dimensional (4D) CT can reliably evaluate ligament injuries in the ankle and may be used to test the ankle in-motion to spot asymptomatic problems, according to results of a May 8 study published in Clinical Radiology.

A new deep learning model leveraging data from screening mammograms can predict a patient’s breast cancer risk with significant accuracy, according to a new study published in Radiology.

The deep learning (DL) model was also equally as accurate for racial minorities who have proven to be more likely to die from cancer, such as black women, according to a May 7 study published in Radiology.

Deep learning (DL) may be able to help healthcare providers predict how patients will respond to intravenous thrombolysis, according to a new pilot study published in Academic Radiology.

Researchers have developed a deep learning model for detecting and delineating chronic myocardial infarction (MI), sharing their findings in a new study published by Radiology.

“The results of this study demonstrate proof of the concept that DL models may aid in the prediction of thrombolysis outcomes,” wrote authors of an April 30 study published in Academic Radiology.