HolyLens

Dermoscopy Intelligence

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AI-powered · ONNX

New Analysis

Analysis Scope

7 output classes

This replaceable ONNX research baseline must be trained, calibrated, and externally validated with compliant labeled data before formal use.

Research Output Labels 7 classes
  • BenignPatternResearch output label · Requires validation with real labeled data
  • AsymmetryResearch output label · Requires validation with real labeled data
  • IrregularBorderResearch output label · Requires validation with real labeled data
  • ColorVariegationResearch output label · Requires validation with real labeled data
  • AtypicalNetworkResearch output label · Requires validation with real labeled data
  • UlcerationResearch output label · Requires validation with real labeled data
  • OtherResearch output label · Requires validation with real labeled data

Model output cannot determine etiology on its own. Review it with the original data, patient information, clinical examination, and the applicable reference standard.

Waiting for acquisition data

After analysis, quality, ranked risks, structured evidence, and a professional research report will appear here.