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AI for Early Detection and Intervention of Depression Among Community-Based Chronic Disease Patients

Development and Application of an AI-Assisted Depression Detection System for Community-Based Chronic Disease Management

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115581
Enrollment
Unknown
Registered
2025-12-29
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

depression

Interventions

Gold Standard:PHQ-9
Index test:Machine Learning Model for Automated Depression Detection

Sponsors

Hangzhou Seventh People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Patients diagnosed with hypertension, type II diabetes, hyperlipidemia, or coronary heart disease. 2. No restrictions on sex or ethnicity; aged 18 to 70 years. 3. Having at least a primary school education level and able to understand and sign the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Recent psychiatric consultations and currently receiving psychiatric treatment. 2. Patients who are unable to engage in effective communication for any reason. 3. Patients with a history of facial nerve impairment, such as facial paralysis, facial trauma, or facial neuritis. 4. Other severe physical conditions that may affect data collection in this study.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactZhang Yamin

Hangzhou Seventh People's Hospital

key041077@163.com+86 571 8512 3265

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026