Case of the Month

Yeju Son
Lunit Team Blog
Published in
2 min readMar 22, 2022

Case of the Month (Chest x-ray)

  • 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:

Discussion

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

https://www.lunit.io/en/evidence/medical-journals/development-and-validation-of-a-deep-learningbased-automatic-detection-algorithm-for-active-pulmonary-tuberculosis-on-chest-radiographs

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Yeju Son
Lunit Team Blog

A marketer who writes about AI, especially in the medical field