Comprehensive solutions for early diagnosis and differentiated assessment
The analysis meticulously assesses lung segments to identify ILA, providing distinct evaluations for fibrotic and non-fibrotic types.
The system offers both quantitative and intuitive results. By dividing the lungs into six zones, it emphasizes areas where ILA distribution surpasses a 5% threshold.
Sensitivity
Specificity
AUROC
Chae KJ, Lim S, Seo JB, Hwang HJ, Choi H, Lynch D, Jin GY. Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis. Radiology. 2023 May;307(4):e222828.
AI-Enhanced Bone Age Assessment
AI that empowers clinicians with a second pair of eyes.
Smart reading prioritizes brain MRI scans based on the severity and urgency of detected findings.
Cutting edge decision-support AI for non-contrast head CT studies.