A machine learning algorithm trained to read imaging scans was more accurate at predicting heart attacks or death than expertly trained physicians, according to a study presented at the International Conference on Nuclear Cardiology and Cardiac CT (ICNC) in Lisbon, Portugal, on May 12.

There’s probably a lot of overlap between computer “power users” and individuals who are comfortable with machines replacing humans in the workplace.

Zebra Medical Vision has received FDA clearance for its new artificial intelligence (AI) solution that scans chest x-rays for signs of pneumothorax and alerts imaging providers when necessary.

Whole-body MRI (WB-MRI) staged colorectal and lung cancer patients with accuracy similar to standard staging pathways, but WB-MRI saved valuable time and costs associated with screening, according to results of two new trials published May 9.

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.