Open your knee MRI DICOM files in the browser to inspect the menisci, cruciate ligaments, cartilage, and bone for tears, swelling, and bruising — then request AI support based on rendered images to explain the findings. Your raw files stay on your device for viewing.
Upload Your Knee MRIA knee MRI maps the soft tissue and bone an X-ray cannot — the menisci, the cruciate and collateral ligaments, the articular cartilage, and the underlying bone marrow. On T2 and proton-density fat-suppressed sequences, tears, fluid, and bruising appear as bright signal, and that contrast is what a radiologist reads to locate and grade an injury.
Drop your MRI ZIP file or individual .dcm files. Supports all standard DICOM transfer syntaxes including JPEG Lossless.
Navigate through slices with keyboard arrows or the slider. Adjust windowing, zoom, pan, and measure distances.
4 AI models (GPT, Gemini, Claude, Grok) analyze independently. Claude synthesizes a unified report with findings and confidence levels.
MPR means viewing the same knee MRI volume in axial, sagittal, and coronal planes. When a DICOM series has enough slices, the viewer can reconstruct those planes from the raw DICOM files parsed locally in your browser.
3D rendering depends on the scan type, slice thickness, spacing, and your browser/device capability. AI analysis remains a support tool for clinician review, not a diagnosis, and does not replace clinician interpretation.
Compare MPR, 3D DICOM viewing, and volume renderingAI support can explain MRI report language and rendered image context, but it is not a licensed radiology second opinion. Use it to prepare better questions for your clinician, especially when a knee report mentions meniscus tears, ACL findings, cartilage loss, or bone marrow edema.
Read the AI MRI explanation guideRaw MRI files stay on your device for DICOM parsing, rendering, and viewing. If you request AI analysis, the app uses rendered images and minimal context.
Works in any modern browser — Chrome, Firefox, Safari, Edge. No plugins, no Java, no desktop software to download.
Four independent AI models can explain rendered MRI images. Each model provides its own findings, then Claude synthesizes a consensus report.
Multi-plane navigation, windowing presets (bone, soft tissue, brain), zoom up to 4x, pan, and distance measurement in millimeters.
T1, T2, PD, STIR, FLAIR, gradient echo, and fat-suppressed sequences. Sagittal, coronal, and axial planes.
Generate a professional report with structured findings, severity grading, model agreement, and recommendations for your physician.
DICOM (.dcm) — individual slice files
ZIP archives — containing DICOM series folders
JPEG Lossless (1.2.840.10008.1.2.4.70) transfer syntax
Explicit VR Little Endian, Implicit VR Little Endian
8-bit, 12-bit, and 16-bit pixel depth
MONOCHROME1 and MONOCHROME2 photometric interpretation
Yes, completely free with no hidden costs. You can view unlimited knee MRI scans in your browser. AI analysis requires credits ($10 per analysis session).
Absolutely. Your DICOM files are processed entirely in your browser using JavaScript and WebAssembly. Raw imaging data never leaves your device. Only rendered analysis images are sent to AI models for interpretation.
Our viewer supports all standard MRI sequences. For knee AI analysis, PD-weighted and T2-weighted sequences with fat suppression provide the most diagnostic information. The system automatically detects and optimizes for available sequences.
Yes. Our DICOM parser handles files from all major MRI manufacturers including Siemens, GE, Philips, Canon, and Hitachi. Both 1.5T and 3T field strengths are supported.
Our multi-model approach using 4 independent AI systems reduces false negatives through cross-referencing. Each model provides its own confidence level, and the synthesis indicates model agreement. This is for informational purposes only and does not replace professional radiological interpretation.
See all supported file formats → for the complete list.
On Analyze My Knee, the viewer helps you review knee scans before discussing them with a clinician. It is built for educational inspection, not self-diagnosis.
Review meniscus tears, ACL injury patterns, bone bruises, collateral ligament injury, bursitis, cartilage loss, and patellar tracking findings with privacy-first browser viewing.
Use the linked knee pages to understand report language and the imaging signs your clinician may mention.