A Review on the Applications of Artificial Intelligence for Diagnosing and Treating Cervical Cancer

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 ChinaCorrespondence: 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 [email protected]: 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

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
Primary Topic
AI in cancer detection
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article
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article

A Review on the Applications of Artificial Intelligence for Diagnosing and Treating Cervical Cancer

SHILAP Revista de lepidopterología
AI in cancer detection
article

A Review on the Applications of Artificial Intelligence for Diagnosing and Treating Cervical Cancer

article en

Abstract

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 ChinaCorrespondence: 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 [email protected]: 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

SHILAP Revista de lepidopterología
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AI in cancer detection
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