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Development and validation of an artificial intelligence diagnostic model for serous effusion cell image

Applicationg of artificial intelligence recognition in the pathological diagnosis of serous effusion cells

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094604
Enrollment
Unknown
Registered
2024-12-25
Start date
2025-01-01
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

Diseases related to serous effusion

Interventions

Gold Standard:Serous cavity effusion shed cell pathological diagnosis.
Index test:Diagnosis of serous cavity effusion cell images using artificial intelligence model.

Sponsors

Shanghai Changhai Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Including serous cavity effusion routine examination smear samples from Changhai Hospital and 9 external validation centers from January 1, 2018, to November 30, 2024, with malignant serous cavity effusion smear samples accounting for 60%.

Exclusion criteria

Exclusion criteria: Poor staining quality; The number of nucleated cells is less than 100×10^6/L; Samples of patients with missing clinical information (diagnosis, pathological results).

Design outcomes

Primary

MeasureTime frame
Cytologic examination results of serous cavity effusion;—

Countries

China

Contacts

Public ContactChen Yan

Shanghai Changhai Hospital

chenyan770628@163.com+86 138 1728 4948

Outcome results

None listed

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