HolyLens

AI Otoscopy Analysis

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AI · ONNX Powered

New analysis

Analysis scope

7 output classes

The current model is a replaceable ONNX research baseline. A production model requires compliant annotated data, calibration, and external validation.

Research output labels 7 classes
  • NormalResearch output label · requires validation with real annotated data
  • CerumenEarwax pattern · requires validation with real annotated data
  • Otitis externa patternResearch output label · requires clinical validation
  • Tympanic membrane erythemaResearch output label · requires clinical validation
  • Middle-ear effusion patternResearch output label · requires clinical validation
  • Tympanic membrane perforation patternResearch output label · requires clinical validation
  • Other findingResearch output label · requires clinical validation

Model output alone cannot determine etiology. Results must be reviewed together with the original data, patient information, clinical examination, and an appropriate reference standard.

Waiting for acquisition data

Data quality, risk ranking, structured evidence, and a research report will appear here after analysis.