Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children
- 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
- Children aged 0 to 18 months old.
- Parent(s) should have access to the internet and a smartphone or tablet to complete study questionnaires, take images and upload images.
- Parent(s) should be able to comprehend the content of the study and to complete the study questionnaires in English.
- Written consent from parent.
- Parent(s) incapable of completing the study questionnaires and uploading of the images using smart phone or tablet with internet.
- 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
Group Intervention Description Children aged 0-18 months of age Physical length measurement Children aged 0-18 months of age with no structural abnormalities of the lower limbs or orthopedic conditions
- Primary Outcome Measures
Name Time Method Accuracy of the length AI 2 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
Name Time Method Parental acceptability of the length AI 2 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 images 2 days Investigator's assessment on the ease of collecting the images \[Very Easy, Easy, Normal, Difficult, Very Difficult\]
Investigators' (or delegates) acceptability of length AI 2 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