Trials / Completed
CompletedNCT06578338
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
- Phase
- —
- Study type
- Observational
- Enrollment
- 250 (actual)
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd. · Industry
- Sex
- All
- Age
- 24 Months – 6 Years
- Healthy volunteers
- Accepted
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Physical height measurement | Physical height will be measured and images will be collected for AI to estimate the height |
Timeline
- Start date
- 2024-09-09
- Primary completion
- 2025-03-04
- Completion
- 2025-03-04
- First posted
- 2024-08-29
- Last updated
- 2026-02-04
Locations
1 site across 1 country: Singapore
Source: ClinicalTrials.gov record NCT06578338. Inclusion in this directory is not an endorsement.