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

General
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
Population
Input	Chest X-ray
Input format	DICOM
Output	annotation overlay
Output format	DICOM
Technology
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

Regulatory

Certification
CE	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

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

Evidence

Evidence
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