Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children
NCT ID: NCT06578338
Last Updated: 2025-08-20
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
200 participants
OBSERVATIONAL
2024-09-09
2025-11-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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Children aged above 24 months old and below 6 years of age
Children aged above 24 months old and below 6 years of age with no structural abnormalities of the lower limbs or orthopaedic conditions
Physical height measurement
Physical height will be measured and images will be collected for AI to estimate the height
Interventions
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Physical height measurement
Physical height will be measured and images will be collected for AI to estimate the height
Eligibility Criteria
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Inclusion Criteria
* Parent(s) should have access to the internet and a smartphone or table to complete study questionnaires, take images and upload images.
* Parent(s) should be able to comprehend the content of the study and complete the study questionnaires in English.
* Written consent from parents and/or legally acceptable representative
Exclusion Criteria
* Children who are unable to cooperate with standing height measurement
24 Months
6 Years
ALL
Yes
Sponsors
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KK Women's and Children's Hospital
OTHER_GOV
Danone Asia Pacific Holdings Pte, Ltd.
INDUSTRY
Responsible Party
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Principal Investigators
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Fabian Yap, MBBS
Role: PRINCIPAL_INVESTIGATOR
KK Women's and Children's Hospital
Locations
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KK Women's and Children's Hospital
Singapore, , Singapore
Countries
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References
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Yap F, Lee YS, Aw MMH. Growth Assessment and Monitoring during Childhood. Ann Acad Med Singap. 2018 Apr;47(4):149-155.
Schmidhuber J. Deep learning in neural networks: an overview. Neural Netw. 2015 Jan;61:85-117. doi: 10.1016/j.neunet.2014.09.003. Epub 2014 Oct 13.
Other Identifiers
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SBB20R&31696-A
Identifier Type: -
Identifier Source: org_study_id
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