AI-powered knee osteoarthritis analysis on X-ray and MRI. Understand joint space narrowing, osteophyte formation, cartilage loss, and Kellgren-Lawrence grading. 4 AI models analyze your imaging and explain the findings in plain language.
Knee osteoarthritis (OA) is a degenerative joint disease characterized by progressive cartilage loss, subchondral bone changes, and osteophyte formation. Imaging plays a crucial role in grading severity and monitoring progression. Our AI consortium evaluates both MRI and X-ray studies, providing Kellgren-Lawrence grading on radiographs and detailed Outerbridge cartilage grading on MRI. The multi-model analysis identifies compartmental involvement, subchondral changes, and associated findings like meniscal degeneration and ligament laxity.
Knee osteoarthritis is graded using the Kellgren-Lawrence scale on X-ray or the MOAKS scoring system on MRI. The AI consortium assesses cartilage thickness loss, subchondral bone marrow edema, osteophyte formation, and meniscal extrusion across T2 and PD-FS sequences to estimate severity. This analysis is for informational purposes only.
Yes. MRI is significantly more sensitive than radiographs for early cartilage changes. The AI consortium analyzes T2 mapping–like signal patterns and focal cartilage thinning on PD-FS sequences to identify early osteoarthritis that may be invisible on plain X-rays.
The AI consortium systematically evaluates all three compartments — medial tibiofemoral, lateral tibiofemoral, and patellofemoral — reporting cartilage integrity, bone edema, and osteophyte burden in each. This compartmental analysis helps identify the primary source of symptoms and informs non-surgical versus surgical planning discussions.
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Upload your MRI or X-ray DICOM files for private, AI-powered analysis. 4 models analyze independently — 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