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Multi center study on accuracy verification and optimization of clinical application of artificial intelligence based postpartum hemorrhage prediction model

Multi center study on accuracy verification and optimization of clinical application of artificial intelligence based postpartum hemorrhage prediction model

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092508
Enrollment
Unknown
Registered
2024-11-18
Start date
2024-11-18
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

Postpartum hemorrhage

Interventions

Gold Standard:Postpartum hemorrhage (PPH) refers to the maternal bleeding volume = 500 mL during vaginal delivery, the maternal bleeding volume = 1000 mL after cesarean section delivery, or the sympto
Index test:The accuracy of the AI system for postpartum hemorrhage in predicting the probability of postpartum hemorrhage

Sponsors

The Third Affiliated Hospital of Guangzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 55 Years

Inclusion criteria

Inclusion criteria: 1.Pregnant women who are 28 weeks pregnant and above; 2.The clinical data of pregnant women are complete; 3.Pregnant women and their families are informed and agree to this study, and sign an informed consent form;

Exclusion criteria

Exclusion criteria: 1.Pregnant women who failed to try vaginal labor and were transferred to cesarean section;

Design outcomes

Primary

MeasureTime frame
The accuracy of postpartum hemorrhage AI system to predict the probability of postpartum hemorrhage;

Countries

China

Contacts

Public ContactChen Dunjin

The Third Affiliated Hospital of Guangzhou Medical University

gzdrchen@gzhmu.edu.cn+86 18928916722

Outcome results

None listed

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