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ClariAdipo

AI-based Abdomen Fat Analysis - Prediction of the Onset of Metabolic Syndrome

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ClariAdipo

The accuracy of ClariAdipo is based on AI Deep Learning Technology and automatically measures the density of subcutaneous and visceral fat among all abdomen fat on abdominal CT images with artificial intelligence technology. ClariAdipo is a system that helps to predict the risk of developing metabolic syndrome. It is a standalone S/W that analyzes DICOM CT abdomen fat image data sets.

ClariAdipo Benefits

Compliant with DICOM

Compatible with any CT and PACS system

Convenience

Simple installation and fast operation

Fully Automated

Automatically measures density of subcutaneous, visceral, and abdomen fat

Helps Predict the Risk

Helps predict the risk of developing metabolic syndrome

Helps predict the risk of developing metabolic syndrome

  • A system that predicts the risk of developing metabolic syndrome.
  • Standalone S/W analyzing DICOM CT abdomen fat image data set.

Full Automated Operation (no operator needed)

  • Fully compliant with DICOM: compatible with all CT and PACS systems.
  • Simple installation and fast operation via GPU computer.

Operating Costs Reduction

  • No need to change the existing CT scanners.

How It Works

Transmission Through DICOM

Any CT Scanners

Transmission Through DICOM

ClariCT.AI + ClariAdipo

PACS

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