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Lunit INSIGHT CXR detects 10 abnormal radiologic findings with 97-99% accuracy.
(Tuberculosis screening on chest x-ray images also supported.)
Internal validation result : (version) v.184.108.40.206 / (date) Dec 21, 2022 / (dataset) 254K / (ROC AUC) 97~99% for 10 findings
Reduce overall reading timevia worklist prioritization with AI
Reading time for all cases and normal cases were reduced by 13% and 33%, respectively.¹
1. Ju Gang Nam, Minchul Kim, et al. Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs.
Lunit INSIGHT CXR successfully analyzed the chest X-ray image of a 54-year-old male patient, detecting lung cancer that had been missed 3 years before being diagnosed in 2016.
Better detection of early-stage lung cancer without increasing false-positive cases.²
1.Sowon Jang, Hwayoung Song, et al. Deep Learning–based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs.
Regardless of your system, location, or environment, Lunit INSIGHT CXR will be seamlessly integrated into your existing workflow, transforming your reading experience.
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Watch the animated video about Lunit INSIGHT CXR featured in peer-reviewed journals