Beta Drag

Tuberculosis screening workflows in resource-constrained healthcare settings are characterized by delays and loss to follow-up between imaging, clinical interpretation, and confirmatory diagnosis. This fragmentation reduces the efficiency of early detection and increases transmission risk. A decision-support system is required to assist clinicians in interpreting chest radiographs, identifying high-risk cases, and prioritizing timely clinical action without replacing medical judgment.