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Study on the application of AI model based on multimodal data in the early diagnosis of dilated cardiomyopathy

Study on the application of AI model based on multimodal data in the early diagnosis of dilated cardiomyopathy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114046
Enrollment
Unknown
Registered
2025-12-05
Start date
2026-01-01
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Dilated cardiomyopathy

Interventions

Gold Standard:Guideline diagnostic criteria for cardiovascular diseases in China and internationally.
Index test:By integrating multimodal data such as MRI, ultrasound, ECG, and electronic medical records (EHR), an AI-assisted diagnostic model based on deep learning is constructed.

Sponsors

Hunan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Patients diagnosed with dilated cardiomyopathy (DCM).

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Diagnosis of Dilated Cardiomyopathy;Sensitivity ;Specificity;—

Countries

China

Contacts

Public ContactZhang Yuanlin

Hunan Provincial People's Hospital

22081563@qq.com+86 731 83929091

Outcome results

None listed

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