Computer-vision detection of delirium from ICU patients' facial expressions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective cohort uses a mobile application to record dynamic facial videos of neurocritical ICU patients following a CAM-ICU–based stimulus paradigm and DSM‑5 delirium diagnosis by an experienced specialist. Recordings are taken twice daily during ICU admission (8:00–10:00 AM and 8:00–10:00 PM) and captured within five minutes of the clinical delirium assessment. Images are preprocessed, augmented, and fed into a convolutional neural network (VGG16) pipeline to construct multidimensional behavioral features and build a classification model. The study was approved by the Beijing Tiantan Hospital Ethics Committee and combines clinical input with engineering expertise from the Institute of Computing Technology, CAS.

Why it matters

Who can join: the full rules

Inclusion Criteria:

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

Exclusion Criteria:

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

Where it's running

• Beijing Tiantan Hospital
  Beijing, Beijing Municipality, China Recruiting

Study contacts

• Study coordinator: Huang Huawei, Doctoral degree
• Email: huanghw0403@163.com
• Phone: +8613599058877

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• AI-assisted whole-course management for safe medicine use in advanced solid tumors

  A real-world study compares a smartphone-based digital management system with usual care to see if it reduces drug-related problems and healthcare needs for adults with advanced solid tumors receiving cancer therapy.

  Recruiting at 2 sites Tianjin Medical University Second Hospital · Tianjin, Tianjin Municipality and 1 other locations · NCT07917351

• Can citicoline help prevent cognitive decline after delirium in older adults with hip fracture?

  This study tests whether taking citicoline for 6 months after discharge helps prevent cognitive decline in adults 65 and older who had delirium during hospitalization for hip fracture.

  Recruiting Phase 2 University of Milano Bicocca · Monza, Monza E Brianza · NCT07804498

• Delirium and Light: Exploring Modifiable Risk Factors in Critically Ill Adults

  This pilot observational study tests whether circadian-light factors influence delirium risk in adults recovering in critical care.

  Recruiting King's College Hospital NHS Trust · London · NCT07791472

• AI-assisted and traditional workflows for admission diagnosis and management planning

  This trial tests whether an AI-agent workflow helps doctors make better admission diagnoses and care plans on simulated cases, compared with plain AI-assisted and traditional workflows.

  Recruiting Second Affiliated Hospital, Zhejiang University, School of Medicine · Hangzhou, Zhejiang · NCT07760051

• Prediction score for death or lung transplant in emphysema caused by alpha-1 antitrypsin deficiency

  This study tests a new prediction tool to identify people with emphysema due to alpha-1-antitrypsin deficiency who are at high risk of death or needing a lung transplant.

  Recruiting at 4 sites University Hospital, Bordeaux · Bron and 3 other locations · NCT07715617

• Timing of AI Help in Chest X-Rays: Does When AI Becomes Visible Change How Clinicians Read Images?

  Doctors test chest X-ray interpretation with AI information shown either before or after they start reviewing the image to see how timing affects their search patterns and decisions.

  Recruiting University Hospitals, Leicester · Leicester, Leicestershire · NCT07675694

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.