Saige Lung

Lung nodule detection, quantification, and growth assessment. Suitable for routine clinical practice and lung cancer screening.

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Overview

DeepHealth's Saige Lung solution supports the management and reporting of incidental pulmonary nodules and early stage lung cancer into routine clinical and screening set up.

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Features

  • Automated detection of solid and sub-solid nodules between 3-30mm.
  • Automated classification of solid, sub-solid ground glass composition.
  • Measurements of diameter, volume, and size filters.
  • Support comparison with automatic volume growth and VDT for nodules smaller that 3mm on prior.
  • CT vendor agnostic.
  • Enterprise-wide capabilities - accessible to any user in the hospital.
  • Integrated into PACS workstation via GSPS or DICOM SC (no specific User Interface) - It doesn't disrupt the radiologist workload and integrates within the routine workflow.
  • No extra image series produced.
  • Strong and robust segmentation algorithm powered by Machine Learning - No editing or vessel suppression needed.
  • Intended for both routine practice: incidental pulmonary nodule management and lung cancer screening.

Benefits

  • Aims to enhance confidence in providing a second pair of eyes to radiologists.
  • Expected to improve accuracy and consistency with a decrease of operator dependency.
  • Aims to improve efficiency by helping radiologists to report faster on lung nodules and focus on the cases with findings.
  • Standardizes guidelines recommendations through the standard of volumetric measurements use.

Image examples

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To find out more about this solution or any of the other 140+ applications on the Blackford Platform, please book a discovery call with our team.

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We’d welcome the opportunity to learn more about your AI needs and to explain how partnering with Blackford can drive efficiency and provide ongoing value.

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