FDA clears cloud-based AI for assistance in detecting aortic atherosclerosis, ectasia - Healio

Imagen Technologies, Inc. announced the FDA issued 510(k) clearance of the company’s cloud-based, heavy learning bundle to assistance successful the detection of aortic atherosclerosis and aortic ectasia connected thorax X-rays.

The bundle (Aorta-CAD) seamlessly integrates into existing workflows without the request for caller representation archiving and connection strategy exertion oregon retraining, according to a institution property release. It is designed to assistance immoderate doc who reads thorax X-rays, including radiologists and superior attraction physicians.

Imagen Technologies, Inc. announced the FDA issued 510(k) clearance of the company’s cloud-based, heavy learning bundle to assistance successful the detection of aortic atherosclerosis and aortic ectasia connected thorax X-rays.
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The heavy learning bundle identifies findings connected the thorax X-ray image; annotates findings via an overlay; and tin beryllium toggled disconnected erstwhile not being used, according to the release.

Use of the heavy learning bundle was associated with a simplification successful misses for aortic calcification, suggestive of aortic atherosclerosis, and a simplification successful misses for dilated aorta, suggestive of aortic ectasia, according to the release.

"Aorta-CAD assists the doc to person a accordant and repeatable process to look into the cardiac silhouette providing further accusation to heighten the patient's attraction plans and care," Scott Howell, MD, Chief Medical Officer for Imagen, said successful the release.