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

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.

NCT Number	NCT07136207
Lead Sponsor	Beijing Tiantan Hospital Collaborators: Affiliated Jinyang Hospital of Guizhou Medical University, The Affiliated Hospital Of Guizhou Medical University
Conditions	Delirium, Artificial Intelligence (AI)
Enrollment	1,000 participants
Start Date	2025-08-30
Primary Completion	2025-12-30 (estimated)
Study Completion	2026-01-30 (estimated)
Updated on ClinicalTrials.gov	2025-08-22