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Leveraging artificial intelligence for TB diagnosis

This presentation examines the role of artificial intelligence (AI) in revolutionizing tuberculosis (TB) diagnosis in Bantayan, a remote island municipality in Cebu, Philippines. Focusing on field implementation of AI-assisted chest x-ray screening and molecular point-of-care testing (POCT), the session will explore how digital innovations have helped bridge geographic, socioeconomic, and health system barriers that historically limited access to timely TB case detection and treatment. The session will highlight both the equity gains achieved and the persistent gaps that remain, offering insights into how digital health innovations can advance TB control while strengthening health systems and building community resilience. By discussing Bantayan’s experience with the broader discourse on digital health and equity, the presentation will highlight strategic opportunities for scaling AI and POCT in resource-limited settings. The session aims to create dialogue on how technology can be harnessed not only to advance TB eradication, but also to strengthen health systems in ways that are inclusive and sustainable.