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

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.

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.

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).