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)

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.

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.

Inclusion Criteria:

• Children aged above 24 months old and below 6 years old.
• Parent(s) should have access to the internet and a smartphone or table to complete study questionnaires, take images and upload images.
• Parent(s) should be able to comprehend the content of the study and complete the study questionnaires in English.
• Written consent from parents and/or legally acceptable representative

Exclusion Criteria:

• Children who are unable to stand upright against a wall
• Children who are unable to cooperate with standing height measurement