Value of artificial intelligence-assisted identification of cervical red area under colposcope in the diagnosis of cervical precancerous lesions
FENG Hui
ZHAO Han-yu
ZHAO Jian
WANG Ye-quan
Abstract：Objective To explore the value of artificial intelligence(AI)-assisted colposcopy for recognition of cervical red area in the diagnosis of cervical precancerous lesions.Methods Colposcopy data of 3974 cases were collected from the Cervical Diagnosis and Treatment Center of the Gynecology and Obstetrics Department of Peking University First Hospital from August 2020 to August 2023.Three deep learning models of ViT,DeiT3 and BEiTv2 were used to construct the prediction model of the cervical red area under colposcopy.The training set and validation set took the colposcopic diagnosis as the learning label,the test set took the pathological results as the gold standard,and the biopsy rate(BR)and histopathology coincidence rate(CR)were used as the evaluation indicators.Results The BR and CR of ViT model were 40.9％and 77.8％,respectively.The BR and CR of DeiT3 model were 44.1％and 77.6％,respectively.The BR and CR of BEiTv2 model were 35.8％and 82.8％,respectively.Conclusion The three deep learning models of AI for identifying the cervical red area under colposcope in this study all have high diagnostic efficacy of cervical precancerous lesions.
Keywords：cervical precancerous lesionsartificial intelligencecolposcopycervical red area
Publication Date：2025-03-02
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 357-360 )