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AI-Guided Construction and Application of a Placental Pathology Database

Building an Annotated Placenta Lesion Image Database: AI-Guided Standardized Lesion Annotation for Placenta Pathology Database Construction and Clinical Guidance

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121081
Enrollment
Unknown
Registered
2026-03-25
Start date
2026-03-25
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Maternal placental malperfusion

Interventions

Gold Standard:Amsterdam Consensus on Placental Pathology
Index test:AI-assisted semi-automatic annotation software

Sponsors

Fujian Maternity and Child Health Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: Cases with complete placental pathology submission records and corresponding clinical data.

Exclusion criteria

Exclusion criteria: Cases where pathological sections are severely faded or damaged, making effective scanning and analysis impossible; cases with severely missing clinical information.

Design outcomes

Primary

MeasureTime frame
The consistency and accuracy between the labeled results and the true values;—

Countries

China

Contacts

Public ContactLin Jiansong

Fujian Maternity and Child Health Hospital

155199090@qq.com+86 591 8755 9024

Outcome results

None listed

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