Data-driven deployment of an AI mobile CXR van to accelerate TB detection in Eastern Uganda

Eastern Uganda continues to miss a sizeable share of tuberculosis (TB) cases (about 40%) despite expanded facility-based screening. Routine surveillance through the electronic Case-Based Surveillance System (eCBSS) and digital contact tracing provides granular spatiotemporal signals but remains underused for directing high-yield interventions. We used a data-driven approach that fused eCBSS and other routine “big data” streams to guide dynamic deployment of an AI-assisted mobile chest X-ray (CXR) van to accelerate TB detection.