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Build a Decision Aid Tool to Help Emergency Intensive Care Specialists in the Context of Hypoxic Ischemic Encephalopathy — NewbornDS  

Encephalopathy Clinical Trial

Official title:
Build a Decision Aid Tool to Help Emergency Intensive Care Specialists in the Context of Hypoxic Ischemic Encephalopathy. NEWBORN NEURO-DIGITAL STUDY

Clinical Trial Summary

The project aims at designing a machine learning solution able to recognize characteristics signals patterns of brain damages in full term babies born within a context of Hypoxic Ischemic Encephalopathy (HIE)

Clinical Trial Description

Retrospective study based on a digital EEG signal library intending to design, train and test an efficient AI solution for hypothermia protocol start indications. The output of the Project is to make available to pediatric resuscitation units an adequate tool to guide them in the decision of hypothermia protocol start in a general context of neurophysiologist competence scarcity. EEG signal that would allow the algorithm design will be based on several parameters of the conventional EEG and not only on signal amplitude ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05114070
Study type Observational
Source Assistance Publique - Hôpitaux de Paris
Contact
Status Completed
Phase
Start date September 8, 2022
Completion date September 8, 2023
View Details
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