11 months ago

AI Helps Assess Malnutrition in Children, Researchers Find

AI Helps Assess Malnutrition in Children, Researchers Find
IIT-AIIMS Jodhpur researchers tap AI to better assess malnutrition in children · thehansindia.com

Scientists have created a new way to check if children are malnourished using artificial intelligence, or AI.

They developed a system called DomainAdapt that analyzes photos of children to estimate their health.

This new method can measure things like height and weight, and also tell if a child is underweight or has other problems.

This is better than older methods because it's faster and can be used in more places, especially where resources are limited.

The AI uses a special collection of pictures called AnthroVision to learn and get better at identifying malnutrition.

This new approach should help healthcare workers and make it easier to provide the right care for kids.

Key facts

Researchers
IIT and AIIMS Jodhpur
Focus
Assessing childhood malnutrition
Method
AI using DomainAdapt framework
Data Source
AnthroVision dataset with 16,938 images
Measurements
Height, weight, MUAC, and malnutrition conditions

Quotes

Misaal Khan

a doctoral student in medical technology at IIT-AIIMS, who led the study

“By simply capturing photos of a child, our framework can estimate nutritional status without the need for complex and time-consuming anthropometric measurements”
thehansindia.com
“This makes malnutrition screening faster, more accessible, and highly scalable, especially in resource-limited settings”
thehansindia.com

Khan

a doctoral student in medical technology at IIT-AIIMS, who led the study

“By blending AI and domain expertise, we can empower healthcare workers and public health systems with tools that are cost-effective, accurate, and scalable”
thehansindia.com
“This research represents a vital step toward equitable healthcare access”
thehansindia.com

Sources

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