Deep Learning Software Assists in Detection of Aortic Atherosclerosis and Aortic Ectasia on Chest X-Rays

Aorta-CAD is a cloud-based, software-only medical device that uses deep learning to detect and highlight findings associated with Aortic Atherosclerosis and Aortic Ectasia. The device is part of Imagen Technologies’ (New York, NY, USA) Diagnostics as a Service (DaaS) platform. It can assist any physician who reads chest X-rays, including radiologists and Primary Care Physicians (PCPs). Aorta-CAD identifies findings on the chest X-ray image and creates annotations that draw attention to those findings via an overlay. The overlay can be toggled off when not being used by the physician. It seamlessly integrates into existing X-ray reading workflows without the need for new PACS technology or costly re-training of physicians.

With assistance from Aorta-CAD, physicians are better equipped to diagnose and start treating Aortic Atherosclerosis and Aortic Ectasia earlier. Aorta-CAD presents an opportunity for practices to identify these previously undiagnosed chronic ailments, improve quality of life for their patients, and reduce total cost of care. Like other components of Imagen's platform, Aorta-CAD delivers significant results for patients, physicians, and the health care system.

"Imagen is on a mission to help Primary Care Physicians deliver faster, better diagnoses and care plans. By expanding our diagnostics as a service platform with Aorta-CAD, we expect to help PCPs significantly improve the quality of care and clinical outcomes for their patients with undiagnosed Aortic Atherosclerosis and Aortic Ectasia," said Alex Dresner, CEO at Imagen Technologies.

"Aorta-CAD assists the physician to have a consistent and repeatable process to look into the cardiac silhouette providing additional information to enhance the patient's treatment plans and care," said Scott Howell, Imagen's Chief Medical Officer.

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