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RECRUITING
NCT07136207

Development and Validation of Delirium Recognition Using Computer Vision in Neuro-critical Patients

Sponsor: Beijing Tiantan Hospital

View on ClinicalTrials.gov

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

Locations (1)

Beijing Tiantan Hospital

Beijing, Beijing Municipality, China