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已发表论文
关于人工智能在宫颈癌诊断和治疗中的应用综述
Received 6 July 2025
Accepted for publication 17 October 2025
Published 29 October 2025 Volume 2025:17 Pages 3955—3970
DOI https://doi.org/10.2147/IJWH.S551976
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Professor Elie Al-Chaer
Yuzhang Wu,1,2 Aihong Wang3
1Department of Telecommunications Engineering and Management, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China; 2Queen Mary University of London, London, UK; 3Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, Shandong, People’s Republic of China
Correspondence: Aihong Wang, Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, Shandong, People’s Republic of China, Email 1339424152@qq.com
Abstract: Cervical cancer (CC) is a malignant gynaecological tumour that poses a serious threat to the lives of patients worldwide. CC is the second-most common-cancer in women located in developing countries, following breast cancer. Therefore, given the persistently high incidence and mortality rates of CC, it is necessary to explore better diagnostic and treatment methods for this disease so that prevention and treatment strategies can be improved. As a science that develops computer programs to simulate, enhance, and extend human behaviours, artificial intelligence (AI) offers new possibilities for achieving this goal. In recent years, AI has shown considerable potential for accurately screening, diagnosing and treating cancer. For CC, the rapid development of AI provides new possibilities for performing early screening and achieving precise clinical diagnoses and treatments. This review is focused on the current state of research regarding the application of AI for the early screening, precise clinical diagnosis, and treatment of CC, as well as the challenges we will face in the future.
Keywords: artificial intelligence, deep learning, cervical cancer, screening, diagnosis, treatment
1Department of Telecommunications Engineering and Management, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China; 2Queen Mary University of London, London, UK; 3Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, Shandong, People’s Republic of China
Correspondence: Aihong Wang, Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, Shandong, People’s Republic of China, Email 1339424152@qq.com
Abstract: Cervical cancer (CC) is a malignant gynaecological tumour that poses a serious threat to the lives of patients worldwide. CC is the second-most common-cancer in women located in developing countries, following breast cancer. Therefore, given the persistently high incidence and mortality rates of CC, it is necessary to explore better diagnostic and treatment methods for this disease so that prevention and treatment strategies can be improved. As a science that develops computer programs to simulate, enhance, and extend human behaviours, artificial intelligence (AI) offers new possibilities for achieving this goal. In recent years, AI has shown considerable potential for accurately screening, diagnosing and treating cancer. For CC, the rapid development of AI provides new possibilities for performing early screening and achieving precise clinical diagnoses and treatments. This review is focused on the current state of research regarding the application of AI for the early screening, precise clinical diagnosis, and treatment of CC, as well as the challenges we will face in the future.
Keywords: artificial intelligence, deep learning, cervical cancer, screening, diagnosis, treatment