NCT06577727

A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Iron Status of Children

A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Iron Status of Children (FERROUS 2)

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 250 (actual)
• Sponsor: Danone Asia Pacific Holdings Pte, Ltd. · Industry
• Sex: All
• Age: 6 Months – 72 Months
• Healthy volunteers: Accepted

Summary

An exploratory study to collect data to build artificial intelligence derived algorithms for estimating iron status in children

Detailed description

This is an exploratory, observational, pilot study that aims to build and measure the accuracy of an algorithm that estimates a child's iron status using images and/or videos, against gold standard venous blood sampling. Images and/or videos will be collected by healthcare professionals, together with blood test results. 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

• Iron Deficiency

Interventions

Type	Name	Description
OTHER	Gold standard blood test	Blood test will measure haemoglobin and other parameters
OTHER	Imaging and videography of anatomical sites	Images and videos of anatomical sites will be collected for AI to estimate iron status

Timeline

• Start date: 2025-01-15
• Primary completion: 2025-09-30
• Completion: 2025-09-30
• First posted: 2024-08-29
• Last updated: 2026-02-04

Locations

2 sites across 2 countries: Singapore, Thailand