Product:

OpenTB (provisional)

Under development

Company HQ: 

Rio de Janeiro, Brazil and Martigny, Switzerland

Demo
Certification
Download Product Profile

Last Updated:

28 July 2021

This is a deep learning-based computer-aided detection model applicable to chest X-ray interpretation and intended to rule out tuberculosis (TB) in low prevalence populations such as contacts of TB index patients. This would be particularly useful to speed up the cascade of care for populations eligible for TB preventive treatment.

Certification

Not available

Development Stage

Under development

Deployment

Online and device-centric workflows

Intended Age Group

18+ years

Target Setting

Primary health centres, government/public sector, e.g. national TB programme

Current Market

Planned market: Brazil, Russia, India, China, and South Africa, other South American countries

Input

»» JPEG, DICOM; currently using JPEG but can easily support DICOM
»» Posterior-anterior or anterior-posterior chest X-ray

Output

»» Abnormality score for TB and for each covered finding.  The location of abnormalities by side (left and right) and thirds (first, second or third).

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Hardware

At the current stage, a notebook computer is necessary.

Validation

To be determined

Hardware

At the current stage, a notebook computer is necessary.

Server

To be determined

Integration

Not possible to integrate the current version with the client's legacy picture archiving and communication system (PACS).

Software

To be determined

Processing Time

To be determined

Data Sharing & Privacy

To be determined

Price

Open-source (free) software and artificial intelligence models distributed under the Affero GNU Public License version 3 (AGPLv3)

Software Updates

To be determined

Product Development Method

Supervised deep learning (CNN)

Training

2000 adult chest X-rays from Brazil, Canada, Benin, Indonesia, USA, India, China (the latter 3 from public databanks)

Reference Standard

Human reader

Publications

Peer-reviewed publications are not yet available.

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