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.

The world’s ongoing helium shortage made a lot of headlines after Party City announced it was closing down 45 stores by the end of 2019. What kind of impact could the deflating availability of this important element have on imaging providers?

One-on-one consultations with radiologists can lead to better overall patient care, and some healthcare providers have even launched clinics aimed at making such conversations more common.

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.

With high compensation and a good work-life balance, Minnesota is the best state for physicians to thrive in 2019, according to a recent ranking from Medscape.

CVD-related fatalities in individuals under 75 years old are on the rise in the U.K. for the first time in five decades, the Guardian reported May 12.

Researchers from Cedars-Sinai Medical Center in Los Angeles have developed a new brain imaging technique that includes an amino acid commonly found in scorpion venom. The team shared its findings in Neurosurgery.

The Heart Rhythm Society issued a first-ever consensus statement on the evaluation, risk stratification and management of arrhythmogenic cardiomyopathy at its annual conference in San Francisco this spring.

The FDA has given 510(k) clearance to an AI alert for urgent finding of a collapsed lung in chest X-rays. The approval is a first for an AI-based chest X-ray solution that can help doctors make quicker diagnoses from one of the world’s most used imaging modalities.