Actively Recruiting
Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)
Led by University Hospital, Brest · Updated on 2024-08-15
500
Participants Needed
1
Research Sites
236 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The investigators wish to build up a database of clinical data and physiological signals with a view to developing a predictive algorithm based on continuous analysis of the intracranial pressure waveform and other parameters commonly used in intensive care to predict the occurrence of an episode of intracranial hypertension (HTIC). This algorithm will be designed using supervised learning statistical methods based on innovative statistical analysis methods (artificial intelligence). These methods are classically used to exploit massive data such as sensor data.
CONDITIONS
Official Title
Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age over 18 years
- Admission to intensive care for less than 3 days for a neurological lesion
- Sensor placement for intracranial pressure monitoring
You will not qualify if you...
- Patient under judicial protection
- Refusal to participate
- Patients under 18 years of age
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
CHU de Brest
Brest, France, 29609
Actively Recruiting
Research Team
O
Olivier HUET
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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