A deep learning platform created by researchers at the Dana-Farber Cancer Institute can identify cancer in radiology reports as well as clinicians, but in a fraction of the time, according to new research published July 25 in JAMA Oncology.

“Our multicenter study found that 4D flow MRI provided a promising way of measuring blood flow in the superior and inferior caval veins and right heart, which may provide further insight into physiologic and pathologic blood flow patterns in individuals with COPD and emphysema,” wrote researchers in a July 24 Radiology study.

Combining ultrasensitive motion detectors with thermal sound-emitting technology, scientists in China have come up with an “artificial throat” that could enable speech in people with damaged or nonfunctioning vocal cords.  

New research published July 23 in JAMA reported neurological differences in several areas of the brain, including white matter volume, among U.S. government personnel involved in a 2016 auditory attack in Cuba compared to healthy controls.

A deep learning classification approach can identify cancerous regions from benign areas in optical coherence tomography (OCT) images of breast tissue, according to results of a July 17 study published in Academic Radiology.

Medtronic and Viz.ai have announced a new partnership aimed at speeding up the implementation of Viz.ai’s AI solution for detecting suspected large vessel occlusion (LVO) strokes.

Medtronic and Viz.ai, a growing leader in artificial intelligence, are collaborating on a new software to automatically alert specialists when a stroke is identified during a CT scan.

A deep learning model that simulates a clinician’s diagnostic process can accurately diagnose Alzheimer’s disease from cognitively normal patients, according to a study published July 16 in Neurocomputing.