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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

  • Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratification

    Lung Cancer, 2022

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  • Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology

    Radiol Med., 2022

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  • Low‑dose CT for lung cancer screening: position paper from the Italian college of thoracic radiology

    Radiol Med, 2022

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  • Lung Cancer in Korea

    Journal of Thoracic Oncology,IASLC, 2021

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