AI Solution for Chest X-ray
97-99% AUC
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.3.1.5.0 / (date) Dec 21, 2022 / (dataset) 254K / (ROC AUC) 97~99% for 10 findings
Global Partnership
Lunit INSIGHT CXR
User Testimonial
Features
Optimized Workflow
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.
50% of Lung Cancer Patients Can Be Diagnosed Earlier
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.
- 2013
- 2014
- 2015
- 2016
Improved Reading Performance
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.
Seamless Integration
Regardless of your system, location, or environment, Lunit INSIGHT CXR will be seamlessly integrated into your existing workflow, transforming your reading experience.
Publication
- Ju Gang Nam, Minchul Kim, et al. Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs. European Respiratory Journal. 2020
- Sowon Jang, Hwayoung Song, et al. Deep Learning–based Automatic Detection Algorithm for Reducing Overlooked Lung Cancers on Chest Radiographs. Radiology. 2020
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Publications featuring
Lunit INSIGHT CXR
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What do the medical journals say about AI-powered chest x-ray?
Watch the animated video about Lunit INSIGHT CXR featured in peer-reviewed journals