Lung CT Analysis
WITH IMAGELOGIX AI

Next-Level Lung Pathology Detection

Another valuable component of the IMAGELOGIX Clinical Decision Support System (CDSS) is the AI-powered automated lung CT analysis, which rapidly and accurately identifies cancer, pneumonia, and other conditions, tailored specifically for clinics and screening programs


AI-Powered Lung Diagnostics
Detect Lung Pathologies with AI Precision

The IMAGELOGIX Lung CT Analysis Service utilizes a deep neural network (150+ layers), trained on more than 10,000 studies annotated by the expert radiologists, to segment lungs, detect pathologies (e.g., nodules, pneumonia), and generate actionable reports

Integrated with PACS, RIS, and viewers, it’s ideal for cancer screening and diagnostics in resource-limited settings in remote areas
ADVANCED LUNG CT TOOLS
Precision at Every Step

  • Segments lungs, lobes, bronchial tree, and vessels automatically
  • Classifies nodules, masses, and pneumonia signs
  • Localizes pathologies with visual markings on CT images
  • Generates CT 0-4 severity scores for pneumonia assessment
  • Produces detailed study reports with clinical insights
  • Integrates with DICOM v3.0 systems
WHY CHOOSE IMAGELOGIX LUNG CT?
Efficiency and Accuracy for Radiology

  • Detects lung cancer and pneumonia with 95% accuracy
  • Cuts operational costs through automated, rapid analysis
  • Scales lung screening in underserved regions seamlessly
  • Reduces diagnostic errors with AI-driven precision
  • Streamlines workflows with automated, detailed reports
HOW IT WORKS
Helping Data-Driven Decisions

IMAGELOGIX AI operates through a cascade of neural networks—classification and segmentation—processing lung CT images in three stages: preprocessing, analysis, and post-processing

IMAGELOGIX AI delivers reliable results with high sensitivity and specificity, tailored for lung cancer and pneumonia detection

FLEXIBLE USAGE SCENARIOS
Tailored for Your Workflow

  • Acts as a first-opinion assistant for triage in screening processes

  • Provides second / third opinions with discrepancy notifications

  • Enhances diagnostic reading with pre-marked pathology regions

  • Supports rural clinics with automated report generation [see sample]
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