French researchers used MRI to capture 3D images of babies as they made their way through the birth canal, offering insights they hope can indicate which may have trouble during labor.

A team of U.S. researchers found the brains of patients diagnosed with severe mental illnesses—such as schizophrenia and depression—may have more in common than previously thought, according to a recent fMRI study.

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.

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.

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.

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.

“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.