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

NCT07136207 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2025-08-22

No results posted yet for this study

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.

Conditions

  • Delirium
  • Artificial Intelligence (AI)

Sponsors & Collaborators

  • Affiliated Jinyang Hospital of Guizhou Medical University

    collaborator UNKNOWN

  • Affiliated Hospital of Guizhou Medical University

    collaborator UNKNOWN

  • Beijing Tiantan Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-30
Primary Completion
2025-12-30
Completion
2026-01-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07136207 on ClinicalTrials.gov