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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
We are looking for Hospitals/Clinics, Radiologists, PACS Companies, Manufacturers, and Dealers for New or Used Medical Equipment
