Health AI Will Fail Unless We Cross the Chasm

These reflections began at the HealthAI Global Governance Forum, held in Nairobi on 2 December 2025 specifically during a session on the “Innovative Pre-Market Approaches to Validate and Regulate AI in Health.”It was a session about the future of Software as a Medical Device (SaMD), regulatory adaptation, living labs, cognitive trust, continuous monitoring, and the…

How the Grand Challenges Convening and Global AI Summit has shaped DPE’s AI Journey

Earlier this year (2025) in April, DPE joined the Grand Challenges AI Community Convening and the Global AI Summit on Africa, two landmark gatherings that continue to influence how we approach AI for health today. Many of the reflections shared here have since guided our work through the Llama Impact Accelerator and the continued development…

From Generic Campaigns to Personalized Journeys: The Three Waves of AI in Health Communication

How AI is helping health programs in Africa move from faster delivery to individualized engagement and why this matters for closing the health engagement gap. The Engagement Gap in Health Systems Across Sub-Saharan Africa, health systems have made major strides in expanding infrastructure, from electronic health records, DHIS2 registries, CRMs, even mobile-based reporting. But these…

From GPUs to Health Messages: How AI Infrastructure Unlocks Personalization for Public Health

At first glance, concepts like attention mechanisms, KV caching, or PagedAttention sound like highly technical jargon – the kind of thing only AI researchers or GPU engineers need to worry about. But under the hood, these breakthroughs are exactly what make it possible for InfoAFYA™ to serve millions of families across Kenya and Sub-Saharan Africa…

The White Space in Public Health Digital Infrastructure

Public health teams today face a paradox: the sector generates more campaigns, data, and interventions than ever before – yet most of it is siloed, underutilized, or lost. This is the “white space”: an abundance of assets (campaign data, messages, community insights) with no shared infrastructure to unlock their collective value. This is where InfoAFYA™…

Why “Attention” is the Secret to Scaling 10 Billion Health Messages

Everyone talks about AI in healthcare. Most imagine giant datasets or futuristic robots. But the real breakthrough that makes AI effective for everyday people, especially in low-resource settings, is something far simpler: attention. Imagine a teacher in a busy classroom. That’s how attention mechanisms work in AI. In plain terms, attention is how AI decides…
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