Clinical Trial

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

Study acronym: NEST
Recruiting
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Summary
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.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-04-01.
Trial Details
NCT Number NCT07514182
Lead Sponsor Danone Asia Pacific Holdings Pte, Ltd.
Collaborators: KK Women's and Children's Hospital
Conditions Growth, Neonates, AI (Artificial Intelligence)
Enrollment 60 participants
Start Date 2026-03-26
Primary Completion 2026-10 (estimated)
Study Completion 2026-10 (estimated)
Updated on ClinicalTrials.gov 2026-04-13