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.

Aidoc has gained FDA approval for its new AI-powered solution that helps radiologists flag and triage urgent pulmonary embolism (PE) cases.

A deep learning-based diagnosis system can identify ACL tears in MRI scans as well as radiologists, according to a new study published in Radiology: Artificial Intelligence.

An artificial intelligence “super brain” could help eliminate unnecessary diagnostic testing in patients who present with stable chest pain, according to a recent study, potentially saving physicians and patients significant time and money.

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.