Research tool, not a medical device. Runs in your browser. Nothing you enter leaves this device.
Describe the lesion
Get a ranked differential and a malignancy-risk tier, with reasons.
Oranosis v1 report
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Lesion library
The 36 lesions Oranosis ranks, with their clinical summary, how to tell them apart and references.
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Evidence
Nested cross-validation on 255 biopsy-confirmed lesions (21 malignant) from one centre.
Headline figures
Measured for the full research model. This page runs the public model, which is about 1.6 points lower in top-1 accuracy (sensitivity analysis).
| Measure | Value | What it means |
|---|---|---|
| Top-3 accuracy (differential) | 83.8% | The biopsy diagnosis is among the first three ranked lesions. |
| Malignancy AUC | 0.953 | How well the risk score separates malignant from benign lesions (1 = perfect). |
| Cancer sensitivity at the borderline tier or above | 95.2% | Share of cancers rated borderline or higher. Specificity at this cut-off: 66.1%. |
| Specificity at the high tier | 96.4% | Share of benign lesions not rated high. Sensitivity at this cut-off: 76.2%. |
Diagnosis
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Malignancy
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How it works
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About
- For: dentists and oral medicine/surgery clinicians, as a second opinion on peripheral (exophytic) soft-tissue lesions.
- Not for: ruling out cancer, intraosseous lesions, or use without a clinician.
- Evidence: validated at one centre (255 lesions, 21 malignant). External validation pending. Figures refer to the research model; this page runs the public model (about 1.6 points lower top-1 in the sensitivity analysis).
- Privacy: everything runs in your browser; nothing you enter is sent anywhere or stored. Do not enter names or IDs anyway.
- Same engine as the Python version: this page contains a JavaScript port of the Oranosis engine. It was tested against the Python reference on 45,900 inputs with 0 differences (see
reports/js_equivalence.mdin the repository).
Zeinali MR, Mirzaei H, Khalighi HR. Introducing Oranosis v1 (manuscript in preparation).