Progress and Challenge of Artificial Intelligence in Diagnosis and Treatment of Cervical Lesions

Abstract

China has the considerable disease burden of cervical cancer, with the mortality and morbidity of cervical cancer showing an increasing and younger trend. Facing to the critical situation of cervical cancer control, it is urgent to explore the new methods that suitable for different resource areas for the early detection and treatment of cervical cancer. Recently, great progress has been made in the field of AI image classification, and scientists have developed many algorithms to identify cervical lesions and conducted corresponding studies on their accuracy. Here, by reviewing the papers published at home and aboard, which studied the applications value of AI in cervical cytology screening, colposcopy examination, diagnosis and treatment of cervical cancer, we summarized and discussed the current progress and challenges for AI's application in the area of cervical cancer control, in order to provide solid evidence for the future use of AI in improving human health.

Keywords

• uterine cervical diseases|artificial intelligence|cytological techniques|cervical cytology|colposcopy|screening|diagnosis, differential|treatment