Aaron Williams was 16 years old when he committed suicide on the campus of his Charleston, South Carolina, high school in 2010. It was only until after the tragedy that neuroimaging revealed multiple lesions in his brain.

Machine learning can reduce a radiologists workload by lowering the number of screening mammograms they’re required to read while preserving accuracy, according to results of a feasibility study published in the Journal of the American College of Radiology.

Radiology software supplier Intelerad Medical Systems is investing $75 million to develop new artificial intelligence and cloud-based offerings.

Artificial intelligence can enhance radiologists’ ability to detect pulmonary nodules on chest CT scans while simultaneously reducing chest CT scan interpretation times.

While AI and robotics won’t be replacing physicians any time soon, emerging applications surely will lift efficiency for human practitioners of the healing arts and sciences. 

Deep learning designed to read single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) can improve the diagnosis of coronary artery disease—a killer of more than 370,000 people in the U.S. annually.

The report, put out by the Journal of the American College of Radiology, is a companion roadmap to part one which was published April 16 in Radiology.

Body mass index, systolic blood pressure and smoking behaviors mediate the effects of education on cardiovascular health, according to a recent study in The BMJ.