AI Solution for Automatic Body Composition Quantification in Abdominal/Thoracic CT

IQQA®-Chest is an AI-powered software solution for automated analysis and interpretation of chest radiographs. The system assists clinicians in detecting abnormalities and supporting diagnostic decision-making in thoracic imaging. It integrates with existing PACS and hospital IT infrastructure to enhance workflow efficiency and diagnostic accuracy.

Artificial intelligence-based platform for real-time body analysis and health insights generation. The system processes 3D scanning data to provide quantitative body composition and posture assessment metrics.

AI software that performs automated muscle and fat segmentation analysis from medical imaging. Supports comprehensive body composition assessment and healthy aging assessment protocols.

An abdominal CT-based muscle and fat segmentation AI software that automatically extracts the L3 slice and segments muscle and fat tissue by quality using deep learning algorithms. The software provides quantified data on visceral fat area, muscle quality indices (NAMA/TAMA, LAMA), and personalized measurements compared to healthy adult averages and age-matched populations. Results are delivered through structured reports with optional patient-focused explanatory materials in English and Korean.

AI-powered analysis system for CT and X-ray imaging that uses deep learning algorithms to assist physicians in detecting and diagnosing diseases across multiple anatomical regions including lungs, cardiovascular, breast, and skeletal systems. The system provides automated image analysis and diagnostic support to enhance clinical decision-making and treatment planning.

AI-powered software platform for real-time body analysis and health insights integration with 3D scanning devices for clinical and wellness applications.

An AI-powered analysis system that segments and quantifies fat and muscle quality by leveraging abdominal CT images to assess body composition and muscle health. The system automatically identifies key anatomical markers and provides detailed insights into muscle quality and metabolic health indicators associated with conditions such as Type 2 diabetes, NAFLD, sarcopenia, and myosteatosis.

Artificial intelligence system designed for automated analysis of medical imaging data including X-ray, CT, and ultrasound images. The platform supports diagnostic capabilities for primary healthcare facilities and remote areas, enabling efficient image interpretation and clinical decision support.

AI-powered diagnostic system for automated detection and analysis of rib fractures on CT imaging. Leverages deep learning algorithms to identify fracture patterns, assess severity, and generate diagnostic reports to support radiologists in clinical decision-making. Enables efficient screening and precise fracture characterization for trauma and orthopedic applications.

Software solution utilizing artificial intelligence for analysis and interpretation of medical imaging data. Enhances diagnostic accuracy through automated image processing and pattern recognition.

AI software that analyzes chest X-rays to support osteoporosis diagnosis and screening. The system utilizes convolutional neural network algorithms trained on 55,600 paired X-ray and DXA scans, achieving an AUC of 0.91 for diagnostic accuracy.

An artificial intelligence solution for medical imaging analysis that enables precise algorithmic computation for improved diagnostic accuracy. The system is designed to enhance diagnostic capabilities in healthcare settings through advanced machine learning technology.