The model performed well in assessing treatment responses, but experts explained that one of the most beneficial aspects of their model was that its results are interpretable in a “clinician-friendly way.” 

"Our model is a potential tool to improve the primary trisomy 21 screening based on ultrasonographic images for universal clinical application," experts involved in the study suggested.

The predictive model can help physicians find a more intelligent, personalized approach for treating hypertension.

A top attractor of investors interested in medical imaging AI has drawn in a fresh $110 million.

Encouragingly, the MRI scans did not require the latest equipment advances and were conducted on a standard machine that is readily available at most hospitals—a 1.5 Tesla. 

The FDA has approved an augmented reality system that renders 3D holograms from CT images to guide surgeons operating the spine such that they don’t need to toggle their eyes between the patient and a monitor.

The AI software assisted in various tasks, such as segmenting, labeling and measuring normal structures, providing an automated analysis of pulmonary, cardiac and musculoskeletal findings.

Testing AI’s ability to detect carotid artery disease on ultrasound, U.K. researchers have found their algorithm achieved 90% accuracy, along with 87% sensitivity and 82% specificity, at the task.