Spots Global Cancer Trial Database for Model Study on Cervical Cancer Screening Strategies and Risk Prediction

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Trial Identification

Brief Title: Model Study on Cervical Cancer Screening Strategies and Risk Prediction

Official Title: Model Study on Cervical Cancer Screening Strategies and Risk Prediction

Study ID: NCT06204133

Conditions

Cervical Cancer Screening

Risk Assessment

Artificial Intelligence

Machine Learning

Interventions

Artificial intelligence model building

Study Description

Brief Summary: By collecting non-image medical data of women undergoing cervical screening in multiple centers in China, including age, HPV infection status, HPV infection type, TCT results, and colposcopy biopsy pathology results, a multi-source heterogeneous cervical lesion collaborative research big data platform was established. Based on artificial intelligence (AI) machine learning, cervical lesion screening features are refined, a multi-modal cervical cancer intelligent screening prediction and risk triage model is constructed, and its clinical application value is preliminarily explored.

Detailed Description: By collecting non-image medical data of women undergoing cervical screening in multiple centers in China, including age, HPV infection status, HPV infection type, TCT results, and colposcopy biopsy pathology results, a multi-source heterogeneous cervical lesion collaborative research big data platform was established. Based on artificial intelligence (AI) machine learning, cervical lesion screening features are refined, a multi-modal cervical cancer intelligent screening prediction and risk triage model is constructed, and its clinical application value is preliminarily explored. The effect of clinical application of the model was evaluated by internal data from Fujian Province and external data from several other regions in China.