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Artificial Intelligence Diagnosis System Study for Multimodal Cervical Lesions Based on Colposcopy Images

Artificial Intelligence Diagnosis System Study for Multimodal Cervical Lesions Based on Colposcopy Images

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900023004
Enrollment
Unknown
Registered
2019-05-06
Start date
2018-01-01
Completion date
Unknown
Last updated
2019-05-13

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

Conditions

Cervical Lesions

Interventions

Gold Standard:Cervical pathology results
Index test:Colposcopy

Sponsors

Fujian Provincial Maternity and Children's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Women aged 21 years old and above; 2. Screening for cervical cancer, screening abnormalities and indications for colposcopy.

Exclusion criteria

Exclusion criteria: 1. Previous cervical lesions; 2. Women without colposcopy examination; 3. No informed consent was signed.

Design outcomes

Primary

MeasureTime frame
Cervical pathology result;HPV result;TCT result;Cervical colposcopy images;—

Countries

China

Contacts

Public ContactSun Pengming

Fujian Provincial Maternity and Children's Hospital

sunfemy@hotmail.com+86 13788873900

Outcome results

None listed

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