AI Algorithm Enables Radiologists to See Past Bones and Vessels in Chest X-Rays

Traditional X-rays can make it difficult to identify lung abnormalities due to the presence of the body's 12 sets of ribs and clavicles that obstruct the view of radiologists who are often limited by their visual observations. A unique suppression technology removes these obstructions from the image, thereby enabling radiologists to more effectively detect actionable nodules on frontal chest X-rays.

The ClearRead Bone Suppression solution from Riverain Technologies (Miamisburg, OH, USA) is the only proven Clear Visual Intelligence (CVI) solution with suppression technology that allows radiologists to go beyond the standard background-impaired imaging interpretation to view past obstructions such as bones and vessels in order to quickly and accurately detect cardiothoracic diseases with newfound Certainty of Search (CoS). ClearRead leverages artificial intelligence and deep learning to create advanced modeling that improves lesion conspicuity and measurement precision.

Image: The ClearRead Xray deep learning algorithm allows clinicians to see beyond bone structure barriers (Photo courtesy of Riverain)

ClearRead Xray Bone Suppress enhances the visibility of soft tissue in standard chest X-rays by suppressing the bone on the digital image, without requiring two exposures. The bone-suppressed image enables radiologists to detect previously missed nodules with an accuracy of one in six cases. The enterprise-wide solution works with existing digital X-ray equipment to provide a soft tissue image for digital chest X-rays. The clinically approved AI technology used by ClearRead Xray Bone Suppress actually removes the bone structure from existing X-rays, enabling radiologists to view the lungs more accurately. This innovative solution does not require any additional radiation dose or changes to existing imaging protocols.

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