Ignite Creation Date:
2026-03-26 @ 3:17 PM
Ignite Modification Date:
2026-03-31 @ 8:46 AM
Study NCT ID:
NCT07337356
Status:
NOT_YET_RECRUITING
Last Update Posted:
2026-01-13
First Post:
2026-01-04
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Research on the Development and Validation of an Early Prediction Model for Delirium
Sponsor:
Ruijin Hospital
Organization:
Study Overview
Official Title:
Research on the Development and Validation of an Early Prediction Model for Delirium Based on Machine Vision Analysis
Status:
NOT_YET_RECRUITING
Status Verified Date:
2025-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Delirium has a high incidence rate and significantly affects patient prognosis. Diagnosis often relies on manual assessment, which is subject to strong subjectivity, high rates of missed diagnosis, and poor stability. This study employs non-contact identification technology based on machine vision analysis to quantitatively analyze characteristic biological feature data such as micro-expressions. It then investigates the correlation between these features and delirium subtypes. By integrating clinical phenotypic data and using machine learning algorithms, a multi-modal early prediction model for delirium is constructed to meet the clinical need for early warning of delirium subtypes and enhance the efficacy of delirium identification.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: