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AI-powered spinal stenosis detection on MRI. Grade central canal, lateral recess, and foraminal narrowing with ligamentum flavum hypertrophy assessment. 4 AI models analyze multi-level compression in parallel.
Spinal stenosis is the narrowing of the spinal canal, lateral recesses, or neural foramina, resulting in compression of the spinal cord or nerve roots. It most commonly affects the lumbar spine (causing neurogenic claudication) and cervical spine (causing myelopathy). Causes include degenerative changes, disc herniations, ligamentum flavum hypertrophy, and facet joint arthropathy. Our AI consortium evaluates stenosis at each level, grades severity, and identifies the contributing anatomical factors.
Stenosis severity can be graded by several methods. For the lumbar spine, cross-sectional area and morphologic grading (normal, mild, moderate, severe) are commonly used. For cervical stenosis, the Torg-Pavlov ratio and cord compression are assessed. Our AI evaluates stenosis severity at each spinal level.
Decode your spine MRI report, understand disc levels, signal changes, and common findings explained in plain language.
Compare CT and MRI scans, their strengths for different conditions, radiation exposure, cost, and when each is the better choice.
Upload your MRI or X-ray DICOM files for private, AI-powered analysis. 4 models analyze independently â all data stays in your browser.
Upload & AnalyzeMedical Disclaimer: This page is for informational and educational purposes only. It does not constitute medical advice, diagnosis, or treatment. AI-generated analysis may contain errors. Always consult a qualified healthcare professional for medical decisions. Full Disclaimer