Nanox AI Bone Solution HealthOST
Assesses the presence of vertebral compression fracture, low bone density and key warning signs of osteoporosis.

Overview
According to the Bone Health & Osteoporosis Foundation (BHOF), over 54 million people are affected by osteoporosis or low bone mass in the U.S. alone¹. Nanox.AI’s HealthOST solution can suggest vertebral compression fractures (VCF) and low bone mineral density (BMD) to help identify patients at risk of musculoskeletal disease. It utilizes existing routine chest and abdominal CT scans.
The Current Procedural Terminology (CPT®) codes offer doctors and healthcare professionals a uniform language for coding medical services and procedures to streamline reporting and increase accuracy and efficiency. Nanox.AI holds CPT code III (0691T) for its service reimbursement.

Features
- Fully-automated spinal analysis.
- Vertebral body compression fractures:
- T1-L4 % compression of these vertebral bodies with categorization into mild, moderate and severe based on Genant criteria.
- Bone Mineral Density:
- T11-L4 bone attenuation measurements.
- Operates automatically without the need for human intervention.
- Results are presented via Secondary Capture within the PACS environment.
HealthOST has regulatory clearance in the USA, Canada and Israel. They are currently pending CE and UKCA clearances.



Benefits
- Works with existing chest and abdominal CT scans with no additional exams needed.
- Automated workflow with minimal effect on the radiology workflow.
- Helps direct at-risk patients to a clinical pathway for revenue generating medical work up.
- Use CPT Code 0691T for AI enhanced radiology workflow.
- Potential cost reduction of chronic disease management in value-based healthcare systems.
- Potential to capture financial ROI with more accurate HCC coding for Medicare Advantage patients.
- Potential to increase revenue due to higher patient retention within the medical system.
- Nanox.AI Bone solution deployments in UK facilities have shown that the software improves the detection of key risk factors for osteoporosis, outperforming the UK National Health Service national average. Of all the patients the algorithm detected, 12% were flagged with VCF, but up to 45% of patients with VCF were not originally reported in the radiology summary.²
Book a discovery call with the Blackford team below to discuss the return on investment your hospital can expect using Nanox.AI’s solutions.
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Book a Meeting¹McPhee C, Aninye IO, Horan L. Recommendations for Improving Women’s Bone Health Throughout the Lifespan. Journal of Women’s Health. 2022 Nov 7;31(12).
²Whitepaper: Osteoporosis detection and treatment – an update about ongoing activities to ascertain the value of early detection and treatment by the ADOPT team. Available at: https://www.ndorms.ox.ac.uk/research/adopt