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Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children

Completed
Conditions
Growth; Stunting, Nutritional
Interventions
Other: Physical length measurement
Registration Number
NCT05079776
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 length using images taken by a healthcare professional or parents.

Detailed Description

This is an exploratory, observational, pilot study that aims to evaluate the performance of a Length Artificial Intelligence (LAI) algorithm in a real world setting. Images will be collected by parents or healthcare professionals, together with physical length 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 the using the algorithm will be collected for improvements.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
200
Inclusion Criteria
  1. Children aged 0 to 18 months old.
  2. Parent(s) should have access to the internet and a smartphone or tablet to complete study questionnaires, take images and upload images.
  3. Parent(s) should be able to comprehend the content of the study and to complete the study questionnaires in English.
  4. Written consent from parent.
Exclusion Criteria
  1. Parent(s) incapable of completing the study questionnaires and uploading of the images using smart phone or tablet with internet.
  2. Children unable to undergo length measurement (e.g. children with structural abnormalities of the lower limbs or orthopedic conditions such as club foot, hip dysplasia, etc).

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Children aged 0-18 months of agePhysical length measurementChildren aged 0-18 months of age with no structural abnormalities of the lower limbs or orthopedic conditions
Primary Outcome Measures
NameTimeMethod
Accuracy of the length AI2 days

Accuracy of the length AI in a clinic and in a home setting, derived from:

1. The length AI prediction from images collected

2. The physical length measurement of subjects

Secondary Outcome Measures
NameTimeMethod
Parental acceptability of the length AI2 days

Parental acceptability of length AI assessed via the study questionnaire \[Very useful, useful, neutral, not useful, very not useful\]

Investigator's assessment on collection of images2 days

Investigator's assessment on the ease of collecting the images \[Very Easy, Easy, Normal, Difficult, Very Difficult\]

Investigators' (or delegates) acceptability of length AI2 days

Investigators' (or delegates) likelihood of using the length AI assessed via the study questionnaire \[Very Likely, Likely, Neutral, Unlikely, Very Unlikely\]

Trial Locations

Locations (1)

KK Women's and Children's Hospital

🇸🇬

Singapore, Singapore

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