Automatic detection of solid, part solid, and ground glass nodules. The user can add, edit, or delete detections with automatic updates to quantitative information. Lung AI supports Lung-RADS reporting and multi-timepoint analysis.
Product specifications Information source: Vendor
Last updated: Aug. 21, 2020
Product name Lung AI
Company Arterys
Subspeciality Chest
Modality CT
Disease targeted lung cancer
Key-features lung nodule detection, volume quantification, nodule tracking over time, Lung-RADS support, automatic reporting.
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
Data characteristics
Population screening population, cancer population
Input Chest CT study
Input format DICOM
Output 3D segmentation mask of lung nodule, volume longitudinal comparison table, Lung-RADS classification, automatic reporting.
Output format Radiology report, predication report.
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration CIS (Clinical Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time
Certified, Class IIa
510(k) cleared, Class II
Market presence
On market since 2013
Distribution channels Arterys marketplace
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use, Subscription
Based on
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers