Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children
NCT Number: NCT06578338
Acronym: INFER
Status: NOT_YET_RECRUITING
Study Type: OBSERVATIONAL
Conditions: Growth; Stunting, Nutritional
Interventions: OTHER: Physical height measurement
Sponsor: Danone Asia Pacific Holdings Pte, Ltd.
Collaborators: KK Women's and Children's Hospital
Sex: ALL
Age: CHILD
Enrollment: 200
Study Design: Observational Model: |Time Perspective: p
Start Date: 2024-09
Completion Date: 2025-03
Locations: KK Women's and Children's Hospital, Singapore, Singapore

Summary:
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.

Primary Outcome Measures: 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, 2 days
Secondary Outcome Measures: 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, 2 days
Other Outcome Measures: 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), 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), 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 \[Very Easy, Easy, Normal, Difficult, Very Difficult\], 2 days