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The aim of this study is to develop a deep learning-based application of heart sounds in the diagnosis of valvular heart disease, which can be used to screen patients with valvular heart disease and promote earlier clinical monitoring and intervention.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| patients with valvular heart disease |
| ||
| patients without valvular heart disease |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| artificial intelligence-based stethoscope | Other | artificial intelligence-based stethoscope |
|
| Measure | Description | Time Frame |
|---|---|---|
| valvular heart disease | Reports therefore graded VHD as none, mild, moderate, severe, or critical, with additional borderline categories (eg, moderate to severe) also allowed | 10 months |
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Inclusion Criteria:
Exclusion Criteria:
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patients with and without valvular heart disease assessed by echocardiography
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| First Affiliated Hospital, Sun Yat-Sen University | Recruiting | Guangzhou | Guangdong | 510000 | China |
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| ID | Term |
|---|---|
| D006349 | Heart Valve Diseases |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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