U.S., Jan. 14 -- ClinicalTrials.gov registry received information related to the study (NCT07337356) titled 'Research on the Development and Validation of an Early Prediction Model for Delirium' on Jan. 04.
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 ...