Rayscape Lung CT

AI-powered lung cancer detection and management, including nodule localization, analysis, and automatic comparisons across follow-up investigations.

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Overview

Rayscape Lung CT is an AI-powered, end-to-end solution for detecting and analyzing lung nodules on chest CT scans. By incorporating Fleischner, Lung-RADS, and BTS criteria, Rayscape Lung CT automatically detects, analyzes, and tracks pulmonary nodules. This comprehensive tool empowers radiologists in lung cancer detection and monitoring, enhancing diagnostic accuracy and patient care.  

Rayscape CXR - image

Features

  • Identification of solid, sub-solid, ground-glass and part-solid pulmonary nodules with a diameter ranging from 3 to 30mm on low-dose, standard-dose and non-contrast or post-contrast scans.
  • Precise highlighting of nodule presence on each slice using a specific bounding box. 
  • Display of lobar locations for identified nodules and the corresponding slices. 
  • Automatic measurement of nodule diameter and volume by segmenting it.
  • Assignment of attributes to each nodule, such as calcification status, solid or subsolid nature, spiculation and sub-pleural location. 
  • Comparative analysis of lung nodule characteristics across follow-up investigations, including nodule evolution, volume doubling time and growth percentage for each nodule. 
  • Inclusion of Fleischner Society recommendations/ LungRADS criteria for nodule follow-up for each analyzed CT scan. 

Benefits

Rayscape Lung CT aims to:

  • Enhance diagnostic precision by helping radiologists make more precise and confident diagnoses.
  • Add time savings.
  • Enhance sensitivity and facilitate earlier intervention.

Image examples

Rayscape CT image 2
Rayscape CT image 1

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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