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Feasibility study of automatic recognition of transthoracic echocardiographic sections by artificial intelligence

Feasibility study of automatic recognition of transthoracic echocardiographic sections by artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092151
Enrollment
Unknown
Registered
2024-11-11
Start date
2024-11-11
Completion date
Unknown
Last updated
2024-12-02

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

Conditions

Various types of cardiac structural lesions

Interventions

Normal cardiac structure group, abnormal cardiac structure group:No intervention
Good image quality group, poor image quality group:No intervention
0-18 years group, 19-60 years group, 60-90 years group, >90 years group:No intervention

Sponsors

Shengjing Hospital of China Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 90 Years

Inclusion criteria

Inclusion criteria: Subjects underwent transthoracic echocardiography in Shengjing Hospital of China Medical University. Age and sex are not limited.

Exclusion criteria

Exclusion criteria: 1. Affected by the location of the recipient, body type, lung gas and other factors, the quality of the cut surface is too poor to be manually identified. 2. Unstable vital signs and unable to complete TTE.

Design outcomes

Primary

MeasureTime frame
Accuracy;Precision;Recall;F1 score;—

Countries

China

Contacts

Public ContactFeifei Sun

Shengjing Hospital of China Medical University

chenzy_0607@163.com+86 182 6936 5423

Outcome results

None listed

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