Alexander van Teijlingen

Papers

Total Citations

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About

Alexander van Teijlingen is a rising scholar at the intersection of artificial intelligence, global health, and digital innovation in low-resource settings. His work critically examines how AI and big data can be leveraged to address systemic healthcare challenges, with a particular focus on Nepal and South Asia. His most-cited paper, “Artificial Intelligence and Health in Nepal” (2020, 8 citations), provides a foundational analysis of the opportunities and ethical considerations surrounding AI deployment in under-resourced health systems. Though early in his career, van Teijlingen’s research is notable for bridging technical capacity with social impact, highlighting how data-driven tools can transform public health delivery in regions often overlooked by mainstream AI research. His contributions are especially relevant as global health systems grapple with integrating machine learning into clinical workflows, policy planning, and disease surveillance. Van Teijlingen’s work signals a growing commitment to ensuring that AI advances are inclusive, context-aware, and equitable—making him a thoughtful voice in the conversation on technology for global health equity.