Nano-X Imaging (Nanox) and its deep learning medical imaging analytics subsidiary Nanox AI are touting early findings from the AI-enabled Detection of OsteoPorosis for Treatment (ADOPT) study.
The study uses the Nanox.AI software HealthVCF to review routine CT scans and has identified up to six times more patients with vertebral compression fracture than the national average at National Health Services (NHS) hospitals in the U.K., Nanox highlighted.
The company also said that the Nanox.AI algorithm has identified over 2,400 patients with vertebral compression fracture from routine CT scans that were not known to the NHS hospitals, and have since been flagged for follow-up assessments. The study will continue through February 2025.
Since the start of the study, Nanox.AI has developed an updated version of HealthVCF called HealthOST, which can highlight low bone mineral density and measure the severity level of detected vertebral compression fractures. It received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in 2022.
