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Barriers to implementation of Artificial Intelligence algorithm into routine clinical care: experiences across 5 NHS trusts in the UK.

Survival of opportunistically identified patients with vertebral fractures using existing CT scans: do they survive long enough to potentially benefit from fracture prevention interventions?

COMPARISON OF RADIOLOGY AUGMENTED VS ASYNCHRONOUS OF ARTIFICIAL INTELLIGENCE (AI) ENABLED VERTEBRAL FRACTURE (VF) REPORTING

Artificial Intelligence Enabled Vertebral Fracture Identification for Fracture Liaison Services: opportunities and challenges – The ADOPT Study

Clinical Validation of Commercial AI Software for the Detection of Incidental Vertebral Compression Fractures in CT Scans of the Chest and Abdomen

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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