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

NCT05579496 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2022-10-13

No results posted yet for this study

Summary

A multi-national multidisciplinary team will be working collaboratively to build a machine learning algorithm to distinguish between preterm infant distress states in the Neonatal Intensive Care Unit.

Conditions

  • Acute Pain

Sponsors & Collaborators

  • MOUNT SINAI HOSPITAL

    collaborator OTHER

  • University College, London

    collaborator OTHER

  • University College London Hospitals

    collaborator OTHER

  • University of Calgary

    collaborator OTHER

  • McMaster University

    collaborator OTHER

  • York University

    lead OTHER

Principal Investigators

  • Rebecca Pillai Riddell, PhD · York University/Mount Sinai Hospital

Eligibility

Min Age
27 Weeks
Max Age
33 Weeks
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-11-01
Primary Completion
2025-12-31
Completion
2026-12-31

Countries

  • Canada
  • United Kingdom

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05579496 on ClinicalTrials.gov