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Development and Validation of Delirium Recognition Using Computer Vision in Neuro-critical Patients
Sponsor: Beijing Tiantan Hospital
Summary
This research project employs machine learning algorithms integrated with computer vision, image processing, and pattern recognition technologies to perform digital analysis of facial expression behaviors in neurocritical care patients with delirium. By constructing multidimensional high-level features of delirium, the investigators have established a classification model based on behavioral. The primary objective of this study is to address the critical challenge of achieving precise and efficient delirium diagnosis in neurologically critically ill patients through automated facial expression behavior recognition.
Official title: Research on Delirium Recognition in Neurocritical Patients Based on Facial Expression Behavior Patterns
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2025-08-30
Completion Date
2026-01-30
Last Updated
2025-08-22
Healthy Volunteers
No
Conditions
Locations (1)
Beijing Tiantan Hospital
Beijing, Beijing Municipality, China