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Case of the Month (Chest x-ray) - Tuberculosis Case

Mar 22, 2022 — 4 min read

Yeju Son

  • TB Case

  • Of the four x-ray images, where is the finding?

  • All cases underwent a de-identification process when received, thus no history or content can be provided regarding patient.

If you selected Case #1, then you are correct!
All other cases are normal!

Lets see what our Lunit AI found:


Tuberculosis is the leading infectious cause of death worldwide, which resulted in approximately 1.7 million deaths in 2016. To reduce disease burden, the World Health Organization has recommended to use computer-aided detection software programmes for screening and triage for TB disease in 2021.

Lunit INSIGHT CXR shows excellent and consistent performance in the detection of active pulmonary TB, which satisfies the requirements set by World Health Organization through 97–99% AUC in 10 radiologic findings.

With Lunit INSIGHT CXR, TB detection can be made automatically through X-ray within 20seconds. As both sensitivity and specificity can be improved through assistance with Lunit INSIGHT CXR, our AI solution shows high potential as a second reader in TB detection.

To read a full clinical evidence about Lunit INSIGHT CXR in TB detection, 
Click here to read the full publication :

AIArtificial IntelligenceChest X RayDeep LearningLunitRadiologyResearch

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