Trials / Completed
CompletedNCT05079776
Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children
Assessing the Use of a Growth Artificial Intelligence Algorithm for Estimating the leNgth of Children in Real-world Setting
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (actual)
- Sponsor
- Danone Asia Pacific Holdings Pte, Ltd. · Industry
- Sex
- All
- Age
- 0 Months – 18 Months
- Healthy volunteers
- Accepted
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Physical length measurement | Physical length will be measured and images will be collected for AI to estimate the length |
Timeline
- Start date
- 2021-11-08
- Primary completion
- 2022-03-08
- Completion
- 2022-06-20
- First posted
- 2021-10-15
- Last updated
- 2022-07-27
Locations
1 site across 1 country: Singapore
Source: ClinicalTrials.gov record NCT05079776. Inclusion in this directory is not an endorsement.