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

ConditionAcute Pain
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age27-33
SponsorYork University

About this trial

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.

Eligibility criteria

Qualifiers

QUALITATIVE INTERVIEWS

parents of a child currently in the NICU or

health professionals currently working in the NICU.

Disqualifiers

Participants who cannot communicate fluently in English

QUANTITITATIVE DATA CAPTURE (video, eeg, ecg, SPo2)

Infants born between 28 0/7 weeks 32 6/7 weeks gestational age

Infants who are within 6 weeks postnatal age

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

400 Participants
are grouped into 1 trial group

Sponsors and collaborators

York University

Lead sponsor

MOUNT SINAI HOSPITAL

Collaborator

University College, London

Collaborator

University College London Hospitals

Collaborator

University of Calgary

Collaborator

McMaster University

Collaborator