Artificial Intelligence Medical Devices
It is a medical image detection and diagnosis assistance software that automatically selects measurement indicators of abdominal CT images and automatically analyzes muscles and fat by developing and applying an L3 automatic selection algorithm using a deep learning model to help medical staff make diagnostic decisions about sarcopenia, sarcopenia, and obesity.
▷ Key users: Research institutes, Clinical trial institutes, and Researchers
Clinical Trial Plan Approval
PERFORMANCE
- Accuracy of over 98%
- 100% automation technology automatically detects L3 slices to reduce image analysis time
- Over 1 Million Studies, Over 120,000 Tests, Continuous AI Updates
- Automatically analyze the muscle and fat mass of L3 (lumba 3rd spine) to provide auxiliary roles and indicators for medical staff's sarcopenia diagnosis
- Provides real-time segmentation and analysis information
- Analyzing one series in 5 seconds
- Establishment of data reference values and quasi-diagnosis criteria through domestic standard data
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Provides Analysis of Sarcopenia
Report
- Patient information
- L3 Level Slice Number
- Visualize and tabulate analysis results
- Diagnostic of sarcopenia
- Coronal View : Visualizing Analysis Location
- Analysis Timeline: Comparable to previous records
Csv
- Save analysis as an Excel file
Image
- Screen capture at the time of analysis
Measurement Information
SMA (Skeletal Muscle Area) : LAMA (Low Attenuation Muscle) + NAMA (Normal Attenuation Muscle)
SFAT (Subscutaneous Fat) : -190 ~ -30 (HU)
VFAT (Visceral Fat) : -190 ~ -30 (HU)