DeepLung-CAC

$0.00

LungRads - Lung Nodule Detection LungRads module comprises lung nodule detection, segmentation, and classification models, trained on a dataset of over 6,000 CT cases. Empowered with advanced 3D deep learning techniques, the module can rapidly detect andanalyze lung nodules in less than a minute. Coronary Artery Calcification Prediction CAC module automatically analyses low-dose chest CT images to predict the severity of cardiac coronary artery calcification risk based on the Agatston score. The CAC risk prediction model is trained on over 1,000 CT cases.

LungRads - Lung Nodule Detection LungRads module comprises lung nodule detection, segmentation, and classification models, trained on a dataset of over 6,000 CT cases. Empowered with advanced 3D deep learning techniques, the module can rapidly detect andanalyze lung nodules in less than a minute. Coronary Artery Calcification Prediction CAC module automatically analyses low-dose chest CT images to predict the severity of cardiac coronary artery calcification risk based on the Agatston score. The CAC risk prediction model is trained on over 1,000 CT cases.

    • Automated Coronary Artery Calcium (CAC) Scoring

      Automatically detects and quantifies coronary artery calcium from non-contrast chest CT scans.

    • Deep Learning-Powered Accuracy

      Utilizes advanced deep neural networks trained on large datasets for high accuracy and consistency.

    • Seamless PACS Integration

      Compatible with standard DICOM formats and integrates smoothly with existing radiology workflows.

    • Visual and Quantitative Reports

      Provides clear visual overlays and structured CAC scoring reports for clinical interpretation.

    • Risk Stratification Support

      Aids in cardiovascular risk assessment and early intervention planning for asymptomatic patients.

    • Rapid Analysis Turnaround

      Delivers results within seconds to support efficient clinical decision-making.

  • TFDA Approval, ISO 13485, ISO 27001

  • DeepLung

  • DeepRad.AI Inc.

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