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    AVIEW: LCSAVIEW: LCS PLUSAVIEW: COPDAVIEW: CACAVIEW: Lung TextureAVIEW: NeuroCADAVIEW: ModelerAVIEW: ResearchAVIEW: RT ACSAVIEW: Pseudonymization Server

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    • Products
    • AVIEW LCS

    With the highest mortality rate, early detection is important for lung cancer treatment.

    Medical AI assists in rapid lung cancer screening
    through accurate lung nodule detection & analysis.

    AI assists rapid lung cancer
    screening through accurate
    lung nodule detection & analysis.

    MFDS • FDA • CE • PMDA • TFDA Clearance

    Detects easy to miss pulmonary nodules accurately

    Medical AI technology detects even the smallest and easy to miss nodules to human eye.

    • Sensitivity 97% / Specificity 76% for screening patients with nodules
      Pulmonary nodule detection performance 91%
    • During a comparative study (Moscow LS), our medical AI came in 2nd out of 5 participating radiologists

    Analyze & categorize pulmonary nodules quickly

    The found nodules are quickly classified according to 'Lung-RADS* ver 1.1' proposed by ACR as a lung nodule classification method.

    1. *Lung-RADS: Lung Cancer Screening CT Report And Data System
    2. *ACR: American College of Radiology

    Examine Follow-up data automatically

    By automatically matching the results of previous and follow-up examinations, changes in nodules can be immediately identified.

    The nodule volume doubling time is automatically calculated, allowing tracking and observation of key nodules convenient.

    Report results easily

    It is possible to automatically generate a lung cancer screening report without any additional work.

    It can also generate patient-facing detailed analysis reports automatically, giving back more information to the patient.

    What if a single chest CT scan could detect Big 3 disease*?

    Big 3 disease : Lung cancer, chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD)

    • Lung Nodule Detection & Analysis
    • Emphysema Analysis
    • Coronary Artery Calcium Detection

    Evidence

    • Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets

      Journal of Digital Imaging, 2019

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    • P2.11-16 Variability in Reading Low-Dose Chest CT: Individual Readers vs. Central Review in a Nationwide Lung Cancer Screening Project

      Journal of Thoracic Oncology, 2019

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    • Identifying Smoking-Related Disease on Lung Cancer Screening CT Scans: Increasing the Value

      Chronic Obstructive Pulmonary Diseases, 2019

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    • European position statement on lung cancer screening

      Lancet, 2017

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