Rebooting Infant Pain Care: Using Machine Learning and Skin-to-Skin Contact to Exponentially Improve Neonatal Intensive Care Unit Practice
Rebooting Infant Pain Care: Using Machine Learning and Skin-to-Skin Contact to Exponentially Improve Neonatal Intensive Care Unit Practice
Recruiting · NCT05579496 · Registry updated 2026-07-13Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| Rebooting Infant Pain Care: Using Machine Learning and Skin-to-Skin Contact to Exponentially Improve Neonatal Intensive Care Unit Practice | Acute Pain, Neurobehavioral Manifestations, Neurologic Manifestations, Pain, Pathological Conditions, Signs and Symptoms, Signs and Symptoms, agnosia, nervous system disorder, perceptual disorders | Recruiting | Not stated | 2026-07-13 | NCT05579496 |
4 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| MOUNT SINAI HOSPITAL | 13 |
| University College London Hospitals | 51 |
| University College, London | 222 |
| York University | 15 |
2 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| Mount Sinai Hospital | Toronto | Canada | 52 |
| University College London Hospital | London | United Kingdom | 1 |