AI Solution for Chest X-ray
Proven accuracy leading to complete efficiency
97-99% AUC
Lunit INSIGHT CXR detects 11 abnormal radiologic findings (also supports tuberculosis screening), enabling identification of 45 different diagnoses.
* Available for Lunit INSIGHT CXR4 version.
Global partnership
[New] Launching Lunit INSIGHT CXR 4
powered by DualScan System
Lunit INSIGHT CXR 4 is a first-in-class chest X-ray solution built on proprietary DualScan System. It supports faster and more accurate
diagnosis, workload, and helps prevent burnout, especially critical in today's overburdened radiology environments.
DualScan System : An advanced AI architecture that combines two engines, one for detecting clinically relevant abnormalities and
another for flagging normal cases, to deliver unparalleled accuracy and workflow efficiency.
Normal
flagging
Save time and optimize efficiency with normal flagging and automated normal report generation, allowing you to focus on timely reporting of more complex cases.
Acute bone
fracture
Improve diagnostic confidence with AI support for detecting subtle, easily overlooked fractures in the ribs, clavicle, scapula, and humerus.
Current-prior
comparison
Quickly detect changes by comparing current and prior CXRs, now with automated nodule progression tracking.
(Currently available for pneumothorax, pleural effusion, nodule, and consolidation.)
Lunit INSIGHT CXR
user testimonial
Features
Workload reduction
Lunit AI identifies normal CXRs with high accuracy, enabling radiologists to focus on more complex cases.
Lunit INSIGHT CXR leads to a 36.2% reduction in workload by correctly identifying about 92.3% of normal CXRs, while also detecting about 95% of urgent/critical findings.¹
* This study was conducted based on CXR3.
1. Schalekamp et al,. Performance of AI to Exclude Normal Chest Radiographs to
Reduce Radiologists’ Workload. Published in European Radiology, 2024.
Improved performance across specialties
Lunit INSIGHT CXR supports both radiologists and non-radiologists in achieving more accurate, efficient interpretations.²
<AUC comparison without and with Lunit AI, stratified by specialty and pathology>
2. Shah et al,. Does AI Assistance Improve Clinician Interpretation of Inpatient and Emergency Department Chest X-Rays?. abstract presented at RSNA 2024
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 partient, detecting lung cancer 3 years prior to when it was diagnosed
- 2013
- 2014
- 2015
- 2016
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
Only verified users can access the product manual
Publications featuring
The publications listed below are not subject to the review of medical device advertising and are intended to showcase Lunit’s technology.
Learn more about Lunit INSIGHT CXR
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