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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

Closing the Loop in AI, EMR, and Provider Partnerships: The Key to Improved Population Health Management?

The capabilities of and interest in artificial intelligence (AI) in healthcare, and more specifically, population health, has grown exponentially over the past decade.

The Value – Leverage AI to go beyond the standard read; HealthCCSng cardiac solution detects more patients eligible for preventive treatment

Lung Cancer Screening programs can achieve greater clinical benefit by leveraging the Nanox.AI CAC measurement tool

Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST)

Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CT

The amount of calcium deposits in the coronary arteries is a powerful predictor of cardiovascular events and mortality.

Assessment of Coronary Artery Calcification on Non-Gated Conventional CT Scans Using Artificial Intelligence Integraion

Opportunistic Screening of Coronary Artery Calcification on Non-gated Conventional CT scans Using Artificial Intelligence

Findings presented at SCCT 2024

AI Empowering Early Detection of CAD Patients for Improved Cardiac Care

Findings presented at SCCT 2024