Auto Lung Nodule Detection

Samsung Healthcare
**Only available with Samsung Electronics systems.**
For Auto Lung Nodule Detection multiple deep learning algorithms help predict lung nodule in general chest radiography as a second reader.
Information source: Vendor
Last updated: Oct. 28, 2021

General Information

Product name Auto Lung Nodule Detection
Company Samsung Healthcare
Subspeciality Chest
Modality X-ray
Disease targeted Lung cancer
Key-features Lung nodule detection
Suggested use During: interactive decision support (shows abnormalities/results only on demand)
After: diagnosis verification

Technical Specifications

Data characteristics
Input Chest X-ray
Input format DICOM
Output annotation overlay
Output format DICOM
Integration Stand-alone third party application
Deployment Locally virtualized (virtual machine, docker)
Trigger for analysis On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time < 3 sec


Certified, Class IIa , MDD
FDA 510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE) The ALND system detects the suspected locations by first performing pixel-based calculation of the probability that a nodule may be present over the whole image, and then applies a set threshold to display the suspected location to the user in the form of a circular region of interest (ROI).


Market presence
On market since 12-2018
Distribution channels
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Subscription
Based on Number of installations


Peer reviewed papers on performance

  • Deep Convolutional Neural Network–based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs (read)

Non-peer reviewed papers on performance
Other relevant papers