Photo credit: Abul Kashem Khan // Organization: Delft Imaging
Introduction
The ongoing war has severely impacted Tb diagnostics, leading to destroyed health infrastructure, a shortage of healthcare workers, and under-detection of TB among at-risk populations, particularly in rural areas.
Intervention
- CAD4TB was introduced at the end of 2024 to automate the interpretation of chest radiographs (CXRs), aiming to increase TB case detection, reduce diagnosis time, and improve access to care in remote and underserved areas.
- Mobile vans equipped with portable X-ray machines and AI were deployed to screen high-risk groups, particularly in rural areas.
Conclusion
- In challenging circumstances, innovative technologies like AI have become crucial in continuing the fight against TB, especially among key and vulnerable populations.
REFERENCE: Terleiva, Y. et al (2024, November 12-15). Applying innovative solutions for TB diagnosis through artifical intelligence in services disruption situation in Ukraine [Poster Presentation]. The Union World Conference on Lung Health, Bali, Indonesia.
