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RECRUITING
NCT07514182

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

Sponsor: Danone Asia Pacific Holdings Pte, Ltd.

View on ClinicalTrials.gov

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.

Official title: Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS and infanTs up to 6 Months of Age

Key Details

Gender

All

Age Range

0 Days - 6 Months

Study Type

OBSERVATIONAL

Enrollment

60

Start Date

2026-03-26

Completion Date

2026-10

Last Updated

2026-04-07

Healthy Volunteers

Not specified

Locations (1)

KK Women's and Children's Hospital

Singapore, Singapore