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NutriScreener: AI to scale early malnutrition screening

NutriScreener is a new AI method to help screen for child malnutrition quickly and at scale—using ordinary photos captured from multiple poses. How it works: it combines CLIP-based visual features, a retrieval “knowledge base” that surfaces context from similar cases, and a multi-pose graph attention network that reasons across

NutriScreener: AI to screen child malnutrition from images

Malnutrition screening is often slow and hard to scale. NutriScreener is a new AI tool that flags undernutrition from children’s images and estimates key body measurements to support early intervention. * Blends visual cues with a curated knowledge base matched to a child’s age and region to improve fairness