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Last Updated:
25th May 2025
The product is AI software that supports the reading of chest X-ray images during the TB treatment process (diagnosis to follow-up).
The main functions of the product are TB detection and follow-up support. The TB function detects candidate areas of tuberculosis and provides them to the physician, thereby contributing to the improvement of the tuberculosis detection rate by the physician. If any cavity is detected, their size is measured and displayed. The follow-up support function compares past images and quantitatively analyzes the severity of TB to help confirm the progress of TB.
Certification
Thai FDA (pending)
Development Stage
Under Development
Deployment
Online & Offline
Intended Age Group
18+ years
Target Setting
Primary/tertiary, public/private, for/beyond National TB programs
Current Market
Thailand and Asia
Input
Can be used to read images from any chest X-ray machine and model
Chest X-ray image format: DICOM
Chest X-ray type: Posterior-anterior chest X-ray, Anterior-posterior chest X-ray
Output
Output includes:
Dichotomous output indicating whether TB is likely present or absent
Location of each abnormality
Probability of TB as "none", "low", "medium" or "high".
Comparison of two X-ray images of the same individual categorized as "improvement", "stable" or "worsening".
Additional findings reported by the product: Atelectasis, Cavity, Consolidation, Fibrosis, Interstitial markings, Mass, Nodule, Opacity, Pleural effusion, Pneumothorax
1/1
Hardware
Client hardware
Server
64bit CPU 2+ cores 3GHz or above, min 16GB RAM
Integration with X-ray Systems
Integration with PACS and Legacy Systems
Yes (through Dicom)
Yes (through Dicom)
Software
Google Chrome browser or equivalent.
Processing Time
About 1 min
Data Sharing & Privacy
Need to de-identify the data before uploading to the product
Software Updates
NA (Product is in development stage)
Price
NA (Product is in development stage)
Product Development Method
Prefer not to disclose
Training
Prefer not to disclose
Reference Standard
Human reader and sputum test
Publications
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