Condition: Acute Pain · Sponsor: York University
To address the current limitations related to infant pain assessment in the NICU, our international team of knowledge users and health/natural science/engineering/social science researchers have come together to build a machine learning algorithm that will learn how to discriminate invasive and non-invasive distress. Furthermore, to improve the use of current pain management practices, our team seeks to better understand the developmental mechanisms underlying skin-to-skin contact over time and factors that may influence its efficacy in mitigating pain responses in preterm infants. This is an ongoing naturalistic observational study.
This description comes directly from the study's public registry record.
Rebecca Pillai Riddell, PhD · 4167362100 · rpr@yorku.ca
Shah Vibhuti, MD · 4165864816 · Vibhuti.Shah@sinaihealth.ca
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| Mount Sinai Hospital | Toronto, Ontario, Canada | Recruiting |
| University College London Hospital | London, No Province, United Kingdom | Recruiting |
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Source record: clinicaltrials.gov/study/NCT05579496