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The application of artificial intelligence to the quantitative calculation and qualitative diagnosis of echocardiography

The application of artificial intelligence to the quantitative calculation and qualitative diagnosis of echocardiography

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000030278
Enrollment
Unknown
Registered
2020-02-27
Start date
2013-09-01
Completion date
Unknown
Last updated
2020-03-02

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

Conditions

common cardiovascular diseases

Interventions

Gold Standard:definitive diagnosis after comprehensive assessment of clinical information
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quantitative&#32
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echocardiography

Sponsors

Beijing Key Laboratory of Chronic Heart Failure Precision Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. clear records in the PACS database of the hospital; 2. inpatients have clear clinical diagnosis and relevant laboratory tests; 3. the echocardiography data are complete, the image quality meets the diagnostic and measurement requirements; 4. the format of image storage and transmission is DICOM file.

Exclusion criteria

Exclusion criteria: The cases of artifacts caused by poor breath-holding coordination or operator factors are excluded

Design outcomes

Primary

MeasureTime frame
grey scale images of echocardiograms;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactKunlun He

Beijing Key Laboratory of Chronic Heart Failure Precision Medicine

hekl301@aliyun.com+86 010 66939107

Outcome results

None listed

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