An observational study in Growth; Stunting, Nutritional, sponsored by Danone Asia Pacific Holdings Pte, Ltd.. Completed at 1 site in Singapore. Open to participants aged 24 Months to 6 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-02-04.
Sponsored by Danone Asia Pacific Holdings Pte, Ltd. (part of Danone) · Observational
An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's height using images taken by a healthcare professional or parents.
This is an exploratory, observation, data-collection study that aims to evaluate the performance of a Height Artificial Intelligence (HAI) algorithm in a real world setting. Images will be collected by parents or healthcare professionals, together with physical height measurements. This data will be used to evaluate the accuracy of the algorithm and to explore potential improvements. Data on the acceptance and experience of using the algorithm will be collected for improvements.
227 studies on the registry are indexed under Growth Disorders; 25 are open to participants now.
This study's enrollment of 250 is close to the median of 231 across 78 observational studies indexed under Growth Disorders.
Browse Growth Disorders studies →Danone Asia Pacific Holdings Pte, Ltd. is the lead sponsor of 29 studies on the registry; 2 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Children aged above 24 months old and below 6 years of age with no physical deformities
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Children aged above 24 months old and below 6 years of age with no structural abnormalities of the lower limbs or orthopaedic conditions
Other: Physical height measurement
Physical height will be measured and images will be collected for AI to estimate the height
Accuracy of the height AI (cm)
Accuracy of the Height AI (cm) in a clinic and in a home setting, derived from: 1. The height AI prediction from images collected 2. The physical height measurements of subjects using WHO standard height measurement
Time frame: 2 days
Accuracy of the Weight AI (kg)
Accuracy of the Weight AI (kg) in a clinic and in a home setting, derived from: 1. The weight prediction from the standing images collected in this study 2. The WHO standard weight measurement of subjects
Time frame: 2 days
Assessments by the parent on usability of the AI in a home-setting via study questionnaire
1. Ease of collecting images (very easy to very difficult) 2. Acceptable range of height \& weight difference between AI prediction \& WHO measurement (between ≤1cm and \>5cm) 3. Frequency of measuring child's height \& weight at home (never,\< 1/month, at least \<1/month, at least 1 per 2 weeks,at least 1/week,\> 1/week,daily) 4. Usefulness of using digital tool to measure child's height \& weight at home (Very useful to Not very useful) 5. Frequency of using digital tool to measure child's height \& weight at home (never,\<1/month, at least 1/month, at least 1 per 2 weeks,at least 1/week,\>1/week,daily) 6. Likelihood and reason of using a digital tool to measure child's height \& weight at home (Very Likely to Very unlikely) 7. Sharing the child's height \& weight measured using digital tool with others (Very Likely to Very unlikely) 8. Use of mobile apps to track child's height \& weight (free text) 9. Other features/tools useful to measure child's height \& weight (free text)
Time frame: 2 days
Assessments by the investigator on usability of the AI in a clinic-setting via a questionnaire
1. Acceptable range of height and weight difference between the height and weight AI from the WHO measurement (≤ 1cm, ≤ 2cm, ≤ 3cm, ≤ 4cm, ≤5cm, \>5cm) 2. Likelihood of using a digital tool to measure a child's height and weight in a clinical setting (Very Likely, Likely, Neutral, Unlikely, Very unlikely) 3. Likelihood of recommending parents to use a digital tool to measure their child's height and weight in a clinical setting (Very Likely, Likely, Neutral, Unlikely, Very unlikely) 4. Other features/tools they find useful to measure the child's height and weight (free text)
Time frame: 2 days
Assessments by the investigator on ease of collecting images in a clinic-setting via a questionnaire
Investigator's assessment on the ease of collecting the images \[Very Easy, Easy, Normal, Difficult, Very Difficult\]
Time frame: 2 days
Plan to share: No
Ran from Sep 2024 to primary completion in Mar 2025, 5 months.
Of 23 industry-sponsored observational studies under Growth Disorders, half reached primary completion within 45 months of starting (the median); a quarter within 30 and three quarters within 55. This study's 5 months is below that.
Counting every sponsor, half of 42 studies reached it within 43 months; a quarter within 21 and three quarters within 55.
How these figures are worked out, and which studies are left out of them.
This study is completed, as verified in Feb 2026. You cannot join it, but the record below documents what was studied.
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