# Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children

> **NCT05079776** · — · COMPLETED · sponsor: **Danone Asia Pacific Holdings Pte, Ltd.** · enrollment: 200 (actual)

## Conditions studied

- Growth; Stunting, Nutritional

## Interventions

- **OTHER:** Physical length measurement

## Key facts

- **NCT ID:** NCT05079776
- **Lead sponsor:** Danone Asia Pacific Holdings Pte, Ltd.
- **Sponsor class:** INDUSTRY
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2021-11-08
- **Primary completion:** 2022-03-08
- **Final completion:** 2022-06-20
- **Target enrollment:** 200 (ACTUAL)
- **Last updated:** 2022-07-27

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05079776

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05079776, "Assessing a Length Artificial Intelligence Algorithm to Estimate Length of Children". Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/clinical/NCT05079776. Licensed CC0.

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