Skip to content

Fetal cardiac imaging intelligent assisted diagnosis

Fetal cardiac multimodal imaging intelligent assisted diagnosis system development

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092972
Enrollment
Unknown
Registered
2024-11-26
Start date
2024-12-01
Completion date
Unknown
Last updated
2026-05-04

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

Conditions

Congenital heart disease and abnormalities in great vessel development in fetuses

Interventions

Gold Standard:Using clinical diagnosis as the gold standard, including postnatal ultrasound diagnosis, post-cardiac surgery diagnosis, or prenatal ultrasound expert diagnosis.
Index test:An artificial intelligence-assisted diagnostic system based on machine learning models

Sponsors

West China Second University Hospital of Sichuan University (WCSUH- SCU)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Retrospective study: Fetuses who had undergone cardiac ultrasound examination or cardiovascular magnetic resonance imaging. 2. Prospective study: Fetuses scheduled for cardiac ultrasound examination or cardiovascular magnetic resonance imaging; pregnant women signing informed consent forms.

Exclusion criteria

Exclusion criteria: 1. Poor quality of fetal cardiac ultrasound or magnetic resonance imaging leads to inability to perform post-processing analysis.

Design outcomes

Primary

MeasureTime frame
Accuracy;Sensitivity;Specificity;

Secondary

MeasureTime frame
Negative predictive value;Positive predictive value;

Countries

China

Contacts

Public ContactGuo Yingkun

West China Second University Hospital of Sichuan University (WCSUH- SCU)

gykpanda@163.com+86 28 85570446

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 7, 2026