LuCAS uses a cutting-edge neural network algorithm to automatically detect pulmonary nodules.
The solution consists of
1) an AI engine trained to find and analyze pulmonary nodules
2) a user-friendly viewer
Leading hospitals use LuCAS as part of a national R&D project with leading PACS maker INFINITT Healthcare.
Robust AI trained under doctor supervision with hundreds of thousands of high-quality data points.
Full PACS integration saves precious time and frees doctors from hours of needless frustration.
Intuitive, user-friendly UI makes it easy to read and annotate images.
Our superior AI technology has earned the confidence of leading Korean tech investors.
Analysis modules include Nodule Detection / Localization, Nodule characterization, Nodule quantification, Segmentation & Measurement and Longitudinal follow-up.
Smart nodule briefing
The briefing provides a nodule list with Thumbnail image, Location, Diameter, Volume, Type, Interval growth, 4X opinion and Lung-RADS® category.
Smart sorting options include shortcut to nodule and auto-scroll around nodule. Users can also download the algorithm result data.
Handy access to details
Visibility options include text briefing, arrow and circle, boundary and axes. Users can easily accept or reject analysis results.
Users can also easily correct details such as lobe, type, growth and axis. 1-click zoom-to-nodule supported.
Users can easily annotate images. The AI, meanwhile, automatically measures nodules.
Automatic report generation
LuCAS automatically generates reports in various formats.
LuCAS is fully integrated into PACS, offering users a seamless workflow to improve efficiency.
This preset mode adjusts AI sensitivity and other parameters to create an optimal mix to detect metastasis, enabling early detection.
LuCAS is a highly accurate diagnosis solution with low false-positive rates. It even detects nodules doctors may miss.
Lung Cancer Detection
- Sensitivity: 93.5% 93.5% 93.5%
- Specificity : 85.8% 85.8% 85.8%
- Little difference in size estimation between radiologists and LuCAS.
- Evaluation study conducted at a tertiary hospital in Korea.
Want to give LuCAS a try? You can request a demo by filling out the form here.
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