# Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice

> **NCT05579496** · — · RECRUITING · sponsor: **York University** · enrollment: 400 (estimated)

## Conditions studied

- Acute Pain

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT05579496
- **Lead sponsor:** York University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2020-11-01
- **Primary completion:** 2025-12
- **Final completion:** 2026-12
- **Target enrollment:** 400 (ESTIMATED)
- **Last updated:** 2022-10-13

## Collaborators

- [object Object]
- [object Object]
- [object Object]
- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05579496

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05579496, "Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice". Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/clinical/NCT05579496. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*