Condition: Growth · Neonates · AI (Artificial Intelligence) · Sponsor: Danone Asia Pacific Holdings Pte, Ltd.
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.
This description comes directly from the study's public registry record.
Amilia Sng, Senior Digital Health R&I Study Manager, MSc Pharmacology · +6594773284 · amilia.sng@danone.com
Kimberley Tan, Clinical Research Associate, BSc · +6598359119 · kimberley.tan@external.danone.com
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| KK Women's and Children's Hospital | Singapore, Singapore | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07514182