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