Multimodal Identification of Depressive Symptoms in the Elderly
Condition(s) studied
Investigational drug(s) / intervention(s)
data collection: Collect the facial expressions, audio, text and postural behavior data of the respondents using electronic devices.
Study summary
Screening with depression scales alone is subjective, and relying on single-modal data often leads to incomplete identification of symptoms that are easily missed or misdiagnosed. In this study, we first aim to use artificial intelligence to construct a depression symptom recognition model, concatenate multimodal features such as facial expression, audio, text, and postural behavior, and deeply fuse them to construct a multimodal model.
Eligibility
Primary outcome measure(s)
- Use the PHQ-9 (Patient Health Questionnaire - 9 ) to assess whether the respondents have depressive symptoms. The scale score is one point for each item. — 2025.09.01-2026.09.01
If the PHQ-9 score is 5 or higher, it is determined as a positive sign of depressive symptoms.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Wuhan Mental Health Center | Wuhan | Hubei |
More Wuhan Mental Health Centre trials in China
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07112118 on ClinicalTrials.gov ↗ ← All trials in China