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LungCT AI

Nodules detection in chest CT

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Radiology

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Workflow Improvement

Early detection of pulmonary nodules is critical to diagnose and treat lung diseases.

It is often challenging to read hundreds of images per patient to detect nodules, analyze them and compare them over time — hence the availability of multiple software products for CT machines.

VUNO Med-LungCT’s competitive edge is about its performance. An AI-based product that assists lung diseases diagnosis, it also provides data on nodules’ size, volume, and location.

Results are integrated with PACS in the format of GSPS objects, which ensures great user convenience.

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Lung Nodule Detection & Measurement

      High Sensitivity, 93% Sensitivity per 1 FP, based on performance validation with open dataset LUNA16
      Optimized nodule detection performance through super-resolution algorithm
      Detects nodules between 4mm — 30mm
      Provides volumetric data of nodules
      Provides a mask feature to detect part-solid nodules (Overall, Ground-glass, Solid Part)

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Advanced Features

      Provides data on the types of nodules
      Provides calcification data to support the assessment of positive nodules
      Provides speculation data to support the assessment of malignant nodules

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Longitudinal Tracking

      Provides baseline scans and follow-up data for nodule growth assessment
      Can match the baseline scan and follow-up scan pixel to pixel

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Proven Performance via External Validation

      Trained on CT images of 1,300 patients'
      External validation with multiple leading institutions in Asia (Korea, Japan, Taiwan)'
      Clinical trial with 3 leading medical institutions in Korea for MFDS Approval'

 
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