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.
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.
Study Type
OBSERVATIONAL
Enrollment
1,112,846
Using non-image medical data of cervical lesions and clinical pathology results in different medical institutions, machine learning is adopted to establish multiple multi-modal cervical cancer intelligent screening prediction models. This method was used to analyze the prediction performance of the multi-modal cervical cancer intelligent screening prediction and risk triage model, and to evaluate and optimize the self-learning ability of the established multi-modal cervical cancer intelligent screening prediction model.
Fujian Maternity and Child Health Hospital
Fuzhou, Fujian, China
Ningde maternal and child health hospital
Ningde, Fujian, China
Gansu Provincial Maternity and Child-care Hospital
Lanzhou, Ganshu, China
Shunde Women's and Children's Hospital of Guangdong Medical University
Foshan, Guangdong, China
Shenzhen Maternal and Child Health Hospital
Shenzhen, Guangdong, China
Guiyang maternal and child health care hospital
Guiyang, Guizhou, China
Hubei Maternal and Child Health Hospital
Wuhan, Hubei, China
Cervical histopathology
Cervical histopathological diagnosis within 8 weeks
Time frame: within 8 weeks，
colposcopy
Colposcopists use colposcopic equipment to investigate the occurrence of cervical and vaginal lesions within 8 weeks
Time frame: Percentage of patients diagnosed with cervical intraepithelial neoplasia of grade 3 (CIN3) or worse by cervical histopathological measurements within 8 weeks
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