Trials / Completed
CompletedNCT04551287
Artificial Intelligence Enables Precision Diagnosis of Cervical Cytology Grades and Cervical Cancer
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 16,164 (actual)
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · Academic / Other
- Sex
- Female
- Age
- 25 Years – 65 Years
- Healthy volunteers
- Accepted
Summary
Cervical cancer, the fourth most common cancer globally and the fourth leading cause of cancer-related deaths, can be effectively prevented through early screening. Detecting precancerous cervical lesions and halting their progression in a timely manner is crucial. However, accurate screening platforms for early detection of cervical cancer are needed. Therefore, it is urgent to develop an Artificial Intelligence Cervical Cancer Screening (AICS) system for diagnosing cervical cytology grades and cancer.
Conditions
- Cervical Cancer
- Diagnostic Platform
- Diagnosing Cervical Cytology Grades and Cancer
- Artificial Intelligence
Timeline
- Start date
- 2019-07-01
- Primary completion
- 2020-12-14
- Completion
- 2020-12-14
- First posted
- 2020-09-16
- Last updated
- 2023-08-08
Locations
3 sites across 1 country: China
Source: ClinicalTrials.gov record NCT04551287. Inclusion in this directory is not an endorsement.