Auto Lung Nodule Detection thumbnail 1
Auto Lung Nodule Detection thumbnail 2

Key Features

  • Lung nodule detection

General Information

Product name

Auto Lung Nodule Detection

Subspeciality

Chest

Modality

X-ray

Disease targeted

Lung cancer

Main task

Not specified

Technical Specifications

Population

Not specified

Patient population age

Not specified

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

Etc., Image upload, On demand, Triggered by a user through e.g. a button click

Processing time

< 3 sec

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

12-2018

AI Platforms

Not specified

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of installations

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

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

Source: vendor | First published: Oct 28, 2021 | Last updated: Jul 9, 2025