Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children

A Study to Collect Data to Build Artificial INtelligence Derived Algorithms For Estimating Height and Weight in childRen (INFER)

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06578338

Acronym

INFER

Enrollment

250

Registered

2024-08-29

Start date

2024-09-09

Completion date

2025-03-04

Last updated

2026-02-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Growth; Stunting, Nutritional

Keywords

Growth, Height, Artificial Intelligence, Algorithm

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.

Interventions

OTHERPhysical height measurement

Physical height will be measured and images will be collected for AI to estimate the height

Study design

Observational model

OTHER

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

24 Months to 6 Years

Healthy volunteers

Yes

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

Design outcomes

Primary

Measure	Time frame	Description
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

Measure	Time frame	Description
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

Countries

Singapore

Contacts

PRINCIPAL_INVESTIGATORFabian Yap, MBBS

KK Women's and Children's Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026