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An exploratory and retrospective study on the application of artificial intelligence technology to identify cervical cancer cells and their components

An exploratory and retrospective study on the application of artificial intelligence technology to identify cervical cancer cells and their components

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200063024
Enrollment
Unknown
Registered
2022-08-28
Start date
2022-08-30
Completion date
Unknown
Last updated
2023-04-12

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

Conditions

cervical carcinoma

Interventions

None listed

Sponsors

The First Affiliated Hospital of Air Force Military Medical University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: 1. Women aged 18-80 years; 2. Patients diagnosed with cervical intraepithelial lesions (HSIL and LSIL or CIN1, 2, 3) and cervical cancer by pathological examination.

Exclusion criteria

Exclusion criteria: 1. Participating in other clinical trials; 2. Younger than 18 years old but older than 45 years old; 3. Incomplete clinical data.

Design outcomes

Primary

MeasureTime frame
accuracy;specificity;—

Countries

China

Contacts

Public ContactLi Jia

The First Affiliated Hospital of Air Force Military Medical University

lijia219@yeah.net+86 18821729828

Outcome results

None listed

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