Health data is collected unethically and AI insights miss the real world

MMany health programs struggle to collect data ethically and to turn it into AI insights that are accurate, targeted, and actionable on the ground. Poor data practices and inaccurate algorithms erode community trust and lead to wrong treatment decisions. Trustworthy, real-world-validated health data and AI are needed in underserved regions.