Assessing a Height Artificial Intelligence Algorithm to Estimate Height of Children (INFER)

Danone

Status: Enrolling

Conditions: Growth; Stunting, Nutritional

Treatments: Other: Physical height measurement

Study type: Observational

Funder types: Other; Industry

Identifiers

NCT06578338

SBB20R&31696-A

Details and patient eligibility

About

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.

Full 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.

Enrollment: 200 estimated patients

Sex: All

Ages: 24 months to 6 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

200 participants in 1 patient group

Children aged above 24 months old and below 6 years of age

Description:

Children aged above 24 months old and below 6 years of age with no structural abnormalities of the lower limbs or orthopaedic conditions

Treatment:

Other: Physical height measurement