New code establishes a reimbursement pathway for use of Nanox.AI’s HealthCCSng, designed to promote increased detection of risks for cardiovascular disease in the
Achievement follows company's industry-first code for utilizing AI in imaging with AI detection of vertebral compression fractures as an early sign for osteoporosis
CAC is a recognized vital biomarker for detection of cardiovascular disease. Nanox.AI believes that early detection and subsequent treatment of cardiovascular disease has the potential to significantly decrease the morbidity and mortality of this highly prevalent condition. HealthCCSng can be incorporated into existing radiologist workflows, helping to identify and quantify CAC levels in their patients and stratify those patients based on their risk of cardiovascular disease and potential need for cardiac work up and treatment.
“This is an important validation of our technology. We hope to promote detection and treatment of cardiovascular disease in the general population, many of whom don’t know they are at risk of cardiovascular disease,” said
Chest CT scans are a common imaging modality used in cardiovascular medicine. However, assessing CAC levels in chest CT scans can be a cumbersome, time-consuming manual task. HealthCCSng analyzes commonly ordered non-gated CT scans, which enables the quantification of CAC as an incidental finding. It automatically categorizes CT-scanned patients into three risk categories, based on the extent of cardiac calcium detected.
The new CPT III code issued by the AMA will allow
“AI-enabled technologies that are built into existing radiologist workflows can help them identify at-risk patients and provide enhanced clinical insights,” said
Prior to its merger with Nanox, Nanox.AI announced the first-ever AMA approval of a CPT code for utilizing AI in radiology, specifically for the detection of vertebral compression fractures (VCF), an early sign of osteoporosis, as an incidental finding in chest CT scans. Nanox.AI’s VCF solution is the only FDA-cleared VCF product for AI in medical imaging.
Nanox, founded by the serial entrepreneur
Using patient imaging data already available to the healthcare system, proprietary algorithms highlight early, previously undetected signs of common chronic diseases. The newly discovered findings can then initiate further medical assessment to establish individual preventative care pathways for patients.
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