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

Key facts

Who runs it
Beijing Tiantan Hospital
Where
China1 site in 1 countryChoose a country to see its sites
Trial code
Status
Recruiting
People taking part
1,000 people, planned
Started
30 Aug 2025
Planned end
30 Jan 2026
Type of study
Observational, 2 groups
Record updated
22 August 2025

Who can take part

Age
18 years to 80 years
Sex
Women and men
Healthy volunteers
Cannot take part

The registry criteria, word for word

Show all 8 criteriaShow less

Who can take part

  • Neurocritical patients admitted to the ICU, including postoperative neurosurgical patients, stroke patients, and those receiving ICU care due to other neurological conditions
  • Age over 18 years
  • Signed informed consent

Who cannot take part

  • Persistent coma (GCS ≤ 8) within 7 days pre- and post-surgery, making delirium assessment impossible
  • Patients with facial paralysis, post-traumatic facial disfigurement, or other conditions that could significantly affect facial recognition
  • Exclusion of patients with severe dementia, Parkinson's disease, depression, or other conditions that might impact facial emotional expressions
  • Age under 18 years
  • Did not survive more than 24 hours in the ICU

Check if you might fit

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 18 and 80 years old?

This trial has no sites in United States.

It has sites in one country. Choose a country to see its sites.

About the trial

What the trial wants to find out

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.

The 2 groups in the trial

  • Neurocritical non-delirium patients

    For neurocritical non-delirium patients, the investigators record facial expression videos, which are used during model development to compare with the facial expressions of delirium patients.

  • Neurocritical delirium patients

    The investigators record facial expression videos of neurocritical delirium patients and perform frame sampling on the videos to analyze and extract the facial expression features specific to delirium. Based on this analysis, the investigators develop a model for delirium recognition in neurocritical patients.

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?

Contact the study team: see the registry record → Contacts and Locations

Print a page for my doctor

Data and sources

Registry record
Listed on ClinicalTrials.gov.
Official title
Research on Delirium Recognition in Neurocritical Patients Based on Facial Expression Behavior Patterns
Fit questions
Built from NCT07136207, who can take part
Record updated
22 August 2025