Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children

Recruiting

• Conditions: Growth; Stunting, Nutritional
• Interventions: Other: Physical height measurement

• Registration Number: NCT06578338
• Lead Sponsor: Danone Asia Pacific Holdings Pte, Ltd.

Brief 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.

Detailed Description

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.

Study Timeline

• Study First Submitted: 2024-08-05
• Study First Submitted QC: 2024-08-27
• Study First Posted: 2024-08-29
• Study Start: 2024-09-09
• Status Verified: 2024-11
• Last Update Submitted: 2024-11-13
• Last Update Posted: 2024-11-15
• Primary Completion: 2025-02
• Study Completion: 2025-03

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

• Children aged above 24 months old and below 6 years old.
• 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 stand upright against a wall
• Children who are unable to cooperate with standing height measurement

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Children aged above 24 months old and below 6 years of age	Physical height measurement	Children aged above 24 months old and below 6 years of age with no structural abnormalities of the lower limbs or orthopaedic conditions

Primary Outcome Measures

Name	Time	Method
Accuracy of the height AI (cm)	2 days	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

Secondary Outcome Measures

Name	Time	Method
Accuracy of the Weight AI (kg)	2 days	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

Trial Locations

Locations (1)

KK Women's and Children's Hospital; 🇸🇬 Singapore, Singapore