Nanox AI, a subsidiary of Nanox Imaging, has signed an exclusive sales reseller agreement with Vertec Scientific for the commercialization of its HealthOST bone health AI software in the United Kingdom, covering an initial three-year term.
HealthOST analyzes routine CT scans to provide qualitative and quantitative assessment of the spine, including vertebral labelling, height-loss measurements, and bone-attenuation measurements to support evaluation of conditions such as osteoporosis, according to the vendor. The company said it has received clearance from the U.S. Food and Drug Administration (FDA) and UKCA/CE marking. The software analyzes scans performed for other clinical indications, requiring no additional imaging or patient time, Nanox AI said.
In November 2025, the National Institute for Health and Care Excellence (NICE) recommended HealthOST among five AI technologies for NHS use as options to aid the opportunistic detection of vertebral fragility fractures. Vertec Scientific is a UK-based provider of DXA and bone health solutions with nearly five decades of experience serving hospitals and clinics across the UK.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
