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Development of an Artificial Intelligence-Based Risk Prediction Model for Fetal Growth Restriction During Pregnancy

Development of an Artificial Intelligence-Based Risk Prediction Model for Fetal Growth Restriction During Pregnancy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104038
Enrollment
Unknown
Registered
2025-06-10
Start date
2025-08-01
Completion date
Unknown
Last updated
2025-06-16

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

Conditions

fetal growth restriction

Interventions

FGR Group:none
Control group:none

Sponsors

Jinan Maternal and Child Health Care Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 50 Years

Inclusion criteria

Inclusion criteria: 1.Singleton pregnancy; 2.Have a complete prenatal examination record; 3.The weight and growth assessment data of postpartum neonatal babies are complete; 4.Pregnant women's age range 20-50 years old;

Exclusion criteria

Exclusion criteria: 1.Congenital fetal malformation; 2.Fetal chromosomal abnormalities; 3.Case of missing critical data (such as missing ultrasound EFW data); 4.Lost-searching cases;

Design outcomes

Primary

MeasureTime frame
Noninvasive DNA Prenatal Test (NIPT) Sequencing Data;Pregnancy-associated plasma protein A;Early pregnancy ultrasound images;Mid pregnancy ultrasound images;—

Secondary

MeasureTime frame
Human chorionic gonadotropin;—

Countries

China

Contacts

Public ContactJin Wang

Jinan Maternal and Child Health Care Hospital

wangjinsmu@163.com+86 531 89029793

Outcome results

None listed

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