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Creation and Verification of an Artificial Intelligence Diagnosis System Based on Fetal 2D and Dynamic 3D Cardiac Ultrasound Images

Creation and Verification of an Artificial Intelligence Diagnosis System Based on Fetal 2D and Dynamic 3D Cardiac Ultrasound Images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300078554
Enrollment
Unknown
Registered
2023-12-12
Start date
2023-12-15
Completion date
Unknown
Last updated
2023-12-19

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

Conditions

congenital heart disease

Interventions

Gold Standard:Fetal echocardiography examination by two fetal cardiac ultrasound experts
Index test:A Clinical Assistant Diagnosis Model for Fetal Congenital Heart Disease Based on Artificial Intelligence

Sponsors

the International Peace Maternity and Child Health Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: The gestational age for examination is 22-26 weeks. Classification criteria: Fetal normal heart: Fetal heart ultrasound and partial malformation screening diagnosis results are normal, and there are no abnormalities found in the clinical examination of newborns after birth Fetal abnormal heart: A fetus diagnosed as having an abnormal heart by two fetal echocardiography experts.

Exclusion criteria

Exclusion criteria: 1) Incomplete medical record information; 2) Those with other abnormalities in the chest cavity. 3) The stored image is not clear.

Design outcomes

Primary

MeasureTime frame
sensitiveness;specificity;Positive predictive value ratio;Negative predictive value ratio;—

Countries

China

Contacts

Public ContactYe Baoying

the International Peace Maternity and Child Health Hospital

eyby99@126.com+86 138 1679 7257

Outcome results

None listed

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