Upload your MRI or X-ray as a ZIP file and our AI consortium of 4 models will analyze it for these conditions. All processing happens in your browser — your files never leave your device.
Start with the imaging question, then use the condition pages below to compare what MRI, X-ray, CT, and clinician review can and cannot answer.
MRI can show labral tear patterns, bursitis, rotator cuff irritation, and related soft-tissue findings. It cannot prove the pain source alone, so radiology and orthopedic review remain important.
X-ray is usually first for clavicle fracture, dislocation, AC separation, and arthritis screening. CT can add detail when alignment, joint involvement, or surgical planning is unclear.
A clinician should confirm the diagnosis, symptom source, urgency, treatment options, and whether findings need follow-up imaging or specialist care.
AI cannot replace a radiologist, physical exam, emergency assessment, or treatment plan. It is an informational aid for understanding visible imaging clues.
Shoulder searches often split by modality and injury type: CT for clavicle or joint alignment detail, X-ray for fracture screening, and MRI for impingement or rotator cuff irritation. Start with the current-domain guide that matches your report.
Labral symptoms can come from SLAP tears, Bankart lesions after dislocation, posterior labral injury, paralabral cysts, or instability-related bone findings. Start with the imaging condition page, then use the classification guides for the tear pattern named in your report.
Shoulder imaging is strongest when the report, symptoms, physical exam, and injury story are reviewed together. Use these pages to understand visible MRI, X-ray, and CT clues before a radiologist, orthopedic clinician, or sports-medicine specialist confirms what matters for care.
For traumatic shoulder pain, published imaging guidance starts with radiographs and then uses MRI, MR arthrography, CT, or CT arthrography depending on suspected labral tear, instability, or fracture detail.
Upload your MRI or X-ray DICOM files for private, AI-powered analysis.
Start AnalysisOur AI consortium analyzes Shoulder MRI for 11 conditions including rotator cuff tears, labral tears, impingement, frozen shoulder, and arthritis. The four-model consortium cross-references multiple imaging planes to flag findings. Results are informational only and not a clinical diagnosis.
Accuracy depends on image quality, scan type, and condition. Our multi-model consortium (4 independent AI models synthesized by Claude) reduces single-model errors through cross-validation. For clinical decisions, always consult an orthopedic specialist or radiologist.
Yes. No account or registration is required. You select DICOM files from your device, they are parsed entirely in your browser, and rendered images are sent to AI models for analysis. Your raw files never leave your device.
No. The analysis is an educational aid to help you understand your imaging findings before or between specialist appointments. For diagnosis, treatment planning, and any medical decisions, consult a qualified orthopedic surgeon or radiologist.
Proton density fat-saturated (PD-FS) sequences on 1.5T or 3T scanners produce the most reliable results. Standard clinical protocols with sagittal, coronal, and axial planes give the AI consortium the most information. Lower-field or motion-degraded scans may reduce detection confidence.
The AI models were primarily trained on adult imaging. Pediatric studies involve open growth plates and different anatomy that may not be reliably interpreted. Pediatric Shoulder imaging should always be reviewed by a specialist experienced in pediatric musculoskeletal imaging.
Post-surgical imaging can be analyzed, but metallic implants, hardware artifacts, and altered anatomy reduce reliability. The AI will flag what it detects but confidence scores should be interpreted cautiously. Always share post-surgical scans with your treating surgeon.
Your raw DICOM files, ZIP archives, and original pixel data are processed entirely in your browser and never uploaded to our servers. Only rendered JPEG frames needed for AI analysis are transmitted over an encrypted connection, and they are not stored after the analysis is complete.