Heart attack and other life-threatening cardiovascular events can be predicted with CT-based measures of calcification in the abdominal aorta and could be a more accurate predictive model than the widely known Framingham risk score, according to research published Oct. 2 in Radiology.

SPECT myocardial perfusion imaging (MPI) and deep learning have proven to be a powerful pair in predicting obstructive coronary artery disease (CAD) and improving the interpretation of upright and supine images, according to research published Sept. 27 in the Journal of Nuclear Medicine.

While digital pathology holds great promise, it still faces great challenges, according to a new study published Oct. 1 from Signify Research.

GE Healthcare still plans to separate into an independent company after General Electric named a new chairman and CEO, according to a report by CNBC.

Breast density reporting laws in the U.S. increase breast density awareness and ignite conversations between women and their physicians about additional screening, according to research published online Oct. 1 in the Journal of the American College of Radiology.

The U.S. Department of Veteran’s Affairs inspector general is auditing mass cancellations at eight VA medical centers across the country to determine if the VA processed and managed radiology requests in a timely and appropriate manner since 2016, USA Today reported on Oct. 1.

As imaging scans before widely more available and affordable, more Americans are getting more tests than they used to—currently totaling to more than 85 million CT scans each year, according to an article published Oct. 1 by The Washington Post. But how much is too much radiation?

Facebook is planning to double the size of its Facebook Artificial Intelligence Research (FAIR) division by the year 2020 and grow to have 400 employees, according to a recent report by Forbes.

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) is urging the U.S. Congress to pass H.R. 6948, which would keep the pass-through status for diagnostic radiopharmaceuticals under Medicare reimbursement.

A team of U.S. researchers accurately trained a deep learning convolutional neural network (CNN) to classify three common dermatopathology diagnoses, according to recent research published in the Journal of Pathology Informatics.