Key Features

  • Endotracheal tube detection

General Information

Product name

qXR-BT

Company

Subspeciality

Chest

Modality

X-ray

Disease targeted

Endotracheal tube detection

Main task

Not specified

Technical Specifications

Population

All chest X-rays

Patient population age

Not specified

Input

PA/ AP view chest X-rays

Input format

DICOM

Output

Secondary image with markers and lables, a report with preview image and table in pdf

Output format

DICOM, Pdf

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone webbased

Deployment

Cloud-based, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Not 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

12-2021

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

Pay-per-use, Subscription

Based on

Number of analyses, Number of installations

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Deep learning in chest radiography: Detection of findings and presence of change

Source: vendor | First published: Apr 19, 2023 | Last updated: Jul 11, 2025