Nanox Announces AI Software Increases Identification of Patients with Vertebral Compression Fractures, an early sign of Osteoporosis, Up to Six-Fold - Seite 2

Osteoporosis is a common progressive bone disease among adults over 50 years of age that causes the bones to weaken, leading to fractures after falls. Unfortunately, certain kinds of fractures, such as VCFs of the spine, are commonly ignoredⁱ despite being a strong risk factor for osteoporosis, leaving patients untreated, worsening bone health and even higher fracture risk. According to the World Congress of Osteoporosis, an estimated 66% of vertebral compression fractures go undetected or unreported in osteoporosis cases.ⁱⁱ As modern treatments for osteoporosis lead to rapid improvements in bone strength, they reduce fracture risk and thereby contribute to improved independence in patients with lower healthcare needs.

As such, there have been efforts to introduce FLS into public health systems. An FLS is a proven and internationally recommended healthcare model of a small team of healthcare professionals who follow a patient pathway to deliver systematic identification, assessment, treatment recommendations and monitoring to adults with a recent osteoporotic fracture.ⁱⁱⁱ,^iv  A recent systematic review demonstrated that FLS programs yield a positive return on investment in 86.9% of cases with a mean ROI of over ten-fold.^v These findings underscore the importance of identifying early signs of fracture and implementing preventive care measures, as well as the economic impact of such initiatives.

“Early findings from the ADOPT study not only demonstrate the potential to improve outcomes for individuals with VCFs, but also show potential cost-savings for major health systems that come from early detection and intervention of a life-altering condition like osteoporosis,” said Orit Wimpfheimer, Chief Medical Officer at Nanox. “We look forward to upcoming data analysis from additional sites participating in the ADOPT study in the coming year.”

Since the ADOPT study’s initiation, Nanox.AI has developed an updated version of HealthVCF called HealthOST, which has the ability to highlight low bone mineral density and measure the severity level of detected vertebral compression fractures. The next-generation HealthOST received FDA 510(K) clearance in April 2022.

About ADOPT

The ADOPT study (AI-enabled Detection of OsteoPorosis for Treatment), a collaboration between University of Oxford, Nanox.AI, Cambridge University Hospitals NHS Foundation Trust (CUH)and the Royal Osteoporosis Society, and funded by the National Institute for Health and Care Research (NIHR) and National Health Service England (NHSE), is studying the performance of Nanox.AI’s HealthVCF artificial intelligence (AI) software to identify vertebral compression fractures (VCF) compared with NHS radiology reports. HealthVCF automatically detects VCFs from routine chest and abdominal CT scans, providing clinicians with actionable information to address potential osteoporosis at an early stage and reduce the risk of complications.