GAIN: Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children
Study Details
Study Description
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.
| Condition or Disease | Intervention/Treatment | Phase |
|---|---|---|
|
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.
Study Design
Arms and Interventions
| Arm | Intervention/Treatment |
|---|---|
| Children aged 0-18 months of age Children aged 0-18 months of age with no structural abnormalities of the lower limbs or orthopedic conditions |
Other: Physical length measurement
Physical length will be measured and images will be collected for AI to estimate the length
|
Outcome Measures
Primary Outcome Measures
- Accuracy of the length AI [2 days]
Accuracy of the length AI in a clinic and in a home setting, derived from: The length AI prediction from images collected The physical length measurement of subjects
Secondary Outcome Measures
- 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]
- 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]
- 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]
Eligibility Criteria
Criteria
Inclusion Criteria:
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Children aged 0 to 18 months old.
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Parent(s) should have access to the internet and a smartphone or tablet to complete study questionnaires, take images and upload images.
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Parent(s) should be able to comprehend the content of the study and to complete the study questionnaires in English.
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Written consent from parent.
Exclusion Criteria:
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Parent(s) incapable of completing the study questionnaires and uploading of the images using smart phone or tablet with internet.
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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).
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | KK Women's and Children's Hospital | Singapore | Singapore | 229899 |
Sponsors and Collaborators
- Danone Asia Pacific Holdings Pte, Ltd.
- KK Women's and Children's Hospital
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- SBB20R&31696