Common Symptoms

Gradual onset of deep aching pain worse with activity
Morning stiffness lasting less than 30 minutes
Crepitus or grinding sensation during knee movement
Bony enlargement and loss of full joint range of motion
Pain that worsens with prolonged standing or stair climbing
Intermittent joint effusion causing puffiness around the kneecap

Osteoarthritis: AI-Powered Imaging Analysis

AI-powered knee osteoarthritis detection on X-ray and MRI. Assess joint space narrowing, osteophyte formation, cartilage loss, and Kellgren-Lawrence grading. 4 AI models provide parallel analysis of your imaging.

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.

What We Look For on Imaging

Joint space narrowing on weight-bearing radiographs
Marginal osteophyte formation at joint margins
Subchondral sclerosis (increased bone density below cartilage)
Subchondral cyst formation
Cartilage thinning or full-thickness loss on MRI
Bone marrow edema pattern (bone bruise-like changes) on MRI
Meniscal degeneration and extrusion

Frequently Asked Questions

How is knee osteoarthritis graded on MRI?

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.

Can AI detect early cartilage loss before X-rays become abnormal?

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.

What compartments of the knee does AI evaluate for arthritis?

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 knee MRI to check for Osteoarthritis Imaging Analysis

Upload your MRI or X-ray DICOM files for private, AI-powered analysis. 4 models analyze independently — all data stays in your browser.

Upload & Analyze

Medical 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