Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age (NEST)

Recruiting now

Conditions studied: Growth, Neonates, AI (Artificial Intelligence)

In brief

The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric parameters in neonates and young infants. The study focuses on infants from birth up to 6 months of age and aims to assess the accuracy of AI-based estimations of length, weight, and head circumference using photographs and/or video recordings captured during routine clinical care. These AI-derived measurements will be compared against standard clinical measurements obtained by trained healthcare professionals in neonatal and infant care settings.

Key facts

Study ID
NCT07514182
Run by
Danone Asia Pacific Holdings Pte, Ltd.
People needed
60
Starts
2026-03-26
Expected to finish
2026-10-01
Last updated by the study team
2026-04-13

Who can join

Age: any, up to 1. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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