Our Knowledge Center
The Knowledge Center is a comprehensive repository of information dedicated to the imaging industry. It offers a wide array of expert articles, cutting-edge research, and practical guides on the latest advancements in imaging technology. Designed for healthcare professionals, this resource hub provides valuable insights and updates to help you stay informed and excel in your field.

How AI can spot diseases that doctors aren’t looking for
When 58-year-old Will Studholme ended up in accident and emergency at an NHS hospital in Oxford in 2023 with gastrointestinal symptoms, he wasn’t expecting a diagnosis of osteoporosis.

A recent study suggests high clinical and economic efficacy for opportunistic screening using the AI tools. Nanox.AI solutions can enable and simplify cost savings by helping detect and report opportunistic findings related to chronic diseases
To assess the cost-effectiveness and clinical efficacy of AI-assisted abdominal CT-based opportunistic screening for atherosclerotic cardiovascular (CV) disease, osteoporosis, and sarcopenia using artificial intelligence (AI) body composition algorithms.

In the study population – NanoxAI Bone tool helped detect more patients at-risk of osteoporosis when comparing to standard of care (FRAX)
Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3-6, are underutilized.

Vertebral fractures are often undiagnosed and missed by FLSs. We have demonstrated the impact of an AI-enabled vertebral fracture FLS pathway using existing CT images on anti-osteoporosis treatment adherence
One-year Anti-Osteoporosis Medication Use in Patients Identified by an AI-enabled Vertebral Fracture Pathway in the Fracture Liaison Service Setting

Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization
Methods for identifying patients at high risk for osteoporotic fractures, including dual-energy X-ray absorptiometry (DXA)1,2 and risk predictors like the Fracture Risk Assessment Tool (FRAX)3,4,5,6, are underutilized. We assessed the feasibility of automatic, opportunistic fracture risk evaluation based on routine abdomen or chest computed tomography (CT) scans.

Compression Fractures Detection on CT
The presence of a vertebral compression fracture is highly indicative of osteoporosis and represents the single most robust predictor for development of a second osteoporotic fracture in the spine or elsewhere. Less than one third of vertebral compression fractures are diagnosed clinically


Validation of HealthOST by Nanox.AI
image processing software that provides qualitative and quantitative analysis of the spine from CT images to support clinicians in the evaluation and assessment of musculoskeletal disease of the spine


Real-world performance of AI enabled vertebral fracture (VF) algorithm for fracture liaison studies: The ADOPT Study
Fewer than 30% of vertebral fragility fractures (VFs) are reported on routine clinical CT scans by radiologists

Artificial Intelligence in Medical Imaging: An Overview of a Decade of Experience
Medical imaging data has been at the frontier of artificial intelligence innovation in medicine with many clinical applications.