Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)
Recruiting · NCT06555900 · Observational (researchers observe without assigning treatment) · Lead sponsor: University Hospital, Brest
View the official record on ClinicalTrials.gov →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.
Who can take part
Age range
18 Years to 99 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
Inclusion criteria
- More than 18 years
- admission to intensive care for less than 3 days for a neurological lesion
- Sensor placement for intracranial pressure monitoring
Exclusion criteria
- patient under judicial protection
- refusal to participate
- patients under 18 years of age
Where it is running
1 location listed.
- CHU de Brest - Brest, France