Summary
AI models assisted radiologists in screening for tuberculosis and breast cancer using medical imaging. The system expanded access to early detection in underserved and rural communities facing specialist shortages. Designed as a clinical decision support tool, it improved triage speed and diagnostic confidence while maintaining human oversight. The approach enabled large-scale, cost-effective screening programs across national healthcare networks.