Improving Artificial Intelligence-derived Algorithms for Estimating Length and Weight in NEonateS… (NCT07514182) | Clinical Trial Compass
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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)
Singapore60 participantsStarted 2026-03-26
Plain-language 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.
Who can participate
Age range0 Days – 6 Months
SexALL
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Inclusion criteria
✓. Infants up from birth up to 6 months of postnatal age (including neonates) who have been admitted to the NICU or SCN at the time of screening
✓. Parent(s) should be able to comprehend the content of the study and be willing for their child to undergo video and photo recording, and to allow access to their blood sampling results (haemoglobin) taken as part of standard clinical practice
✓. Written consent from parents and/or legally acceptable representative
Exclusion criteria
✕. Infants who were born with gestational age of less than 28 weeks of gestational age
✕. Infants who are intubated (i.e., endotracheal, nasotracheal intubation) at the time of screening
✕. The investigator considers for any reason that the participant would not be suitable for the study
✕. The participant has an existing medical condition that would prevent standardised measurement of length and/or head circumference e.g. structural abnormality of the lower limbs, orthopaedic conditions, hydrocephalus
✕
What they're measuring
1
To evaluate the accuracy of the algorithm to estimate length (in cm)
Timeframe: From enrolment (after informed consent) until discharge from NICU/SCN, up to a maximum of 10 weeks
Trial details
NCT IDNCT07514182
SponsorDanone Asia Pacific Holdings Pte, Ltd.
Sponsor typeINDUSTRY
Study typeOBSERVATIONAL
Primary completion2026-10
Contact for this trial
Amilia Sng, Senior Digital Health R&I Study Manager, MSc Pharmacology
. Employees and/or children/family members or relatives of employees of Danone Global Research \& Innovation Center, Danone Asia Pacific Holdings Pte Ltd, or the participating site