MedVision combines deep-learning models, study validation, Grad-CAM explanations, and structured reports for chest and musculoskeletal radiographs.
Analysis workflow
From upload to structured result
1. Upload study
PNG or JPEG radiograph
2. Validate and route
Confirm supported study type
3. Run inference
Generate structured model outputs
4. Explain
Create Grad-CAM visualization
5. Report
Review and export a PDF
Supported analysis
Each specialist has its own model pipeline, validation metrics, explainability view, and report format.
14-label thoracic imaging model
Analyze frontal or lateral chest radiographs across 14 CheXpert observations with explainable AI and structured reporting.
0.8143
Validation macro AUC
Automatic musculoskeletal routing
Detect the body region automatically, estimate normal-versus-abnormal appearance, and generate a visual explanation.
0.8706
Abnormality AUC
MedVision is not clinical software and must not be used to make patient-care decisions. Model outputs may be incorrect and do not replace qualified medical interpretation.