MedLumen analyses chest X-rays, brain MRIs, retinal fundus and skin-lesion images using EfficientNet-B0 transfer learning, then shows a Grad-CAM heatmap over the exact regions that drove each prediction.
From upload to a printable, explainable report — in one place.
Upload a scan and get a structured prediction, confidence score and risk band in seconds.
Every prediction ships with a saliency heatmap, opacity control and an explainability score.
Generate a clinical report with patient info, findings, heatmap and notes — print or save as PDF.
Maintain a longitudinal history per patient, with every scan and diagnosis on a timeline.
Track disease distribution, modality mix and risk trends across your organisation.
Admin, Doctor, Radiologist and Researcher roles with an activity audit trail.
Drag in a JPG or PNG and pick the imaging modality.
An EfficientNet-B0 model classifies the most probable finding.
A saliency map highlights the regions behind the prediction.
Review confidence and risk, add notes, and export a report.
For individual clinicians evaluating the platform.
For busy practices and reading rooms.
For hospital networks and governance needs.
Create a workspace in minutes — no infrastructure required to evaluate.
Create your workspace