HolyLens

OCT Intelligence

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AI-powered · ONNX

New Analysis

Analysis Scope

6 output classes

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

Research Output Labels 6 classes
  • NormalResearch output label · Requires validation with real labeled data
  • RetinalFluidResearch output label · Requires validation with real labeled data
  • DrusenResearch output label · Requires validation with real labeled data
  • MacularHoleResearch output label · Requires validation with real labeled data
  • RNFLThinningResearch 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.