NCT06555900

Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence (PREDICT-CE)

Predicting Episodes of Intracranial Hypertension in Neuro-injured Patients: Development of a Decision Algorithm Using Artificial Intelligence

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 500 (estimated)
• Sponsor: University Hospital, Brest · Academic / Other
• Sex: All
• Age: 18 Years – 99 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Creation of a Warehouse of Clinical Data and Physiological Signals at the Patient's Bedside

Timeline

• Start date: 2020-12-17
• Primary completion: 2025-06-30
• Completion: 2025-06-30
• First posted: 2024-08-15
• Last updated: 2024-08-15

Locations

1 site across 1 country: France