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

Recruitingn/aAges 18 Years - 80 YearsAllBeijing Tiantan Hospital
NCT07136207 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
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.
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What it tests

  • Not listed
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Where

1 site
Beijing Tiantan Hospital
Beijing, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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