Early Detection of Tuberculosis Using X‑Ray AI
How HaiLTH Accelerated TB Diagnosis Through AI-Powered Chest Imaging
Client Overview
A regional medical center in India struggled with delays in tuberculosis diagnosis due to an overwhelmed patient load and insufficient radiology staff. The lack of timely reads was impacting early treatment and increasing transmission risk in densely populated communities.
Objective
Improve detection sensitivity of TB lesions in chest X-rays.
Reduce diagnostic turnaround time in high-volume clinics.
Enable faster initiation of TB treatment to curb community spread.
Solution: HaiLTH’s Chest X-Ray AI Deployment
HaiLTH deployed its AI chest X-ray interpretation module, trained on millions of expert-annotated TB-positive scans. The platform integrated directly with portable radiography units and existing digital X-ray workflows, flagging suspicious TB signs with high accuracy.
Results
Missed Cases Captured
Sensitivity improved by 25% vs manual reads.
Rapid Turnaround
Reporting time dropped from 2 days to under 1 hour.
Patient Comfort
Elderly and pediatric patients benefitted from faster, non-invasive screening.
Public Health Win
Earlier diagnosis led to quicker isolation and reduced transmission.
Conclusion
HaiLTH proved instrumental in delivering scalable, AI-driven TB diagnostics. With minimal infrastructure and seamless integration, the platform enabled life-saving early treatment—especially in resource-limited settings.