Revolutionary tuberculosis screening using artificial intelligence and chest X-ray analysis. Identifies potential TB cases in high-risk populations for early intervention and treatment initiation.
Advanced machine learning algorithms analyze chest X-rays to detect abnormalities consistent with tuberculosis, enabling rapid case identification and referral.
Tatpar ACF interface showing AI analysis of chest X-rays with real-time abnormality detection and risk scoring for TB screening.
Leveraging cutting-edge AI to transform TB screening and case detection in resource-constrained settings.
Deep learning algorithms analyze chest X-rays for TB-specific abnormalities with 95% accuracy, rivaling expert radiologist performance.
Instant screening results available within seconds of X-ray capture, enabling immediate clinical decisions and patient counseling.
Automated risk scoring categorizes patients by likelihood of TB, helping prioritize follow-up and resource allocation.
Comprehensive program monitoring with screening coverage, case detection rates, and geographic heat mapping for targeted interventions.
Seamless integration with national TB registries and notification systems for confirmed cases, supporting government reporting requirements.
Field-ready mobile application for use in screening camps, health facilities, and community outreach settings with offline capability.
Built on proven machine learning frameworks and mobile technologies for reliable, scalable TB screening deployment.
TensorFlow models trained on diverse chest X-ray datasets
Advanced computer vision for X-ray analysis
Encrypted cloud processing with data protection
RESTful APIs for system connectivity
Web, Android, and iOS applications
Functionality without internet connectivity
Geographic data for screening coverage
Real-time dashboards and reporting
Transforming TB case finding with demonstrable improvements in detection rates and program efficiency.
Proven deployment in active TB screening programs across multiple states with demonstrated effectiveness.
Tatpar ACF is deployed in partnership with TB control programs and healthcare facilities, supporting active case finding activities in high-burden areas. The system integrates with existing X-ray infrastructure and workflows.
The AI-powered screening enhances rather than replaces clinical expertise, providing decision support that helps healthcare workers identify potential TB cases earlier and more efficiently.
We provide Tatpar ACF implementation and device management services for TB screening programs and healthcare facilities.
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