Diagnostic Performance of a Computer-aided System for Tuberculosis Screening in Two Philippine Cities.

Background And Objectives: The Philippines faces challenges in the screening of tuberculosis (TB), one of them being the shortage in the health workforce who are skilled and allowed to screen TB. Deep learning neural networks (DLNNs) have shown potential in the TB screening process utilizing chest radiographs (CXRs). However, local studies on AI-based TB screening are limited.