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Research on Key Technologies of Ultrasound Screening for Fetal Congenital Heart Disease Based on Deep Learning

Research on Key Technologies of Ultrasound Screening for Fetal Congenital Heart Disease Based on Deep Learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100052184
Enrollment
Unknown
Registered
2021-10-22
Start date
2021-11-01
Completion date
Unknown
Last updated
2022-06-27

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

Conditions

Fetal Congenital Heart Disease

Interventions

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Sponsors

Weihai Maternal and Child Health Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 55 Years

Inclusion criteria

Inclusion criteria: 1. Pregnant women with normal fetal heart or congenital heart disease diagnosed by ultrasound, 22-24 weeks of gestation; 2. The information is complete; 3. Education level above elementary school; 4. Consciousness, no cognitive impairment; 5. Can cooperate to complete the ultrasound inspection.

Exclusion criteria

Exclusion criteria: 1. Accompanied by damage to the function of important organs such as the heart and lungs, and the investigator believes that they are not suitable for participating in this study; 2. Pregnant women with twins or multiple births.

Design outcomes

Primary

MeasureTime frame
Accuracy;Sensitivity;Specificity;receiver operating characteristic curve;Dice Coefficient;

Countries

China

Contacts

Public ContactYu Xia

Weihai Maternal and Child Health Hospital

yuxia60101@163.com+86 13181899099

Outcome results

None listed

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