15th May 2023
DeepCheX® is an AI-assisted tool that helps clinicians and radiologists detect tuberculosis (TB) and various lung abnormalities on chest X-rays. After identifying and noting the lung abnormalities, DeepCheX® can produce a report of the findings to be reviewed by the radiologist. DeepCheX® aids hospitals by increasing staff efficiency, optimizing clinical workflows, and ultimately saving time and lives.
Online & Offline
Intended Age Group
Primary health centres, general hospital (above primary level), teleradiology companies, government/public sector, e.g. national TB programme, private sector
DICOM, JPG and PNG;
Dichotomous output indicating for each abnormality whether this is present or absent.
Dichotomous output only indicating whether TB is likely present or likely absent.
Probability score for TB
Probability score for each abnormality
Location of each abnormality
Heat map or bounding box indicating the location of the abnormality, list of abnormality and user-added diagnostics or annotations.
Other abnormalities: Atelectasis, Blunted costophrenic angle, Consolidation, Loculated pleural effusion, Mass, Nodule, Opacity, Pleural effusion, Pneumothorax
Integration with X-ray Systems
Integration with PACS and Legacy Systems
DeepCheX® can be used to read images from any kind of chest X-ray machine (vendor neutral).
It is possible to directly integrate DeepCheX® with any chest X-ray machine through a network connection
It is possible to integrate DeepCheX with the client’s legacy PACS directly. This integration facilitates viewing of results and managing the screening workflow.
Data Sharing & Privacy
Data are not shared with the developer
All data are anonymized before analysis by DeepCheX
Software is updated at least once a year
Please contact Taimedimg@ailabs.tw for information.
Product Development Method
Supervised deep learning (Transformer base)
Trained and tested on above 10,000 chest X-rays acquired globally.
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