Ignite Creation Date:
2024-10-26 @ 3:37 PM
Last Modification Date:
2024-10-26 @ 3:37 PM
Study NCT ID:
NCT06555900
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-08-13
Brief Title:
Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients Development of a Decision Algorithm Using Artificial Intelligence PREDICT-CE
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients Development of a Decision Algorithm Using Artificial Intelligence
Status:
RECRUITING
Status Verified Date:
2024-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
PREDICT-CE
Brief Summary:
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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None