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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.
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