IT and AIIMS Jodhpur researchers have developed DomainAdapt, an AI-powered framework to detect childhood malnutrition using photos. Coupled with the AnthroVision dataset, it provides fast, scalable, and accurate assessment of stunting, wasting, and underweight in children.

New Delhi: Researchers at the Indian Institute of Technology (IIT) and All India Institute of Medical Science (AIIMS) Jodhpur have leveraged the power of artificial intelligence (AI) to better identify childhood malnutrition.

The new method, published in the open-access journal MICCAI, addresses one of the most pressing global health challenges — the accurate and scalable assessment of childhood malnutrition.

The study introduced DomainAdapt — a novel multitasks learning framework that dynamically adjusts task weigh

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