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Artificial Intelligence in Cervical Cancer Research and Applications.

Liu, C., Jiahui, Y., Liu, Y., Zhang, Y., Liu, S., Chaikovska, T. and Liu, C., 2023. Artificial Intelligence in Cervical Cancer Research and Applications. Acadlore Transactions on AI and Machine Learning, 2 (2), 99-115.

Full text available as:

ATAIML_02.02_05.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.56578/ataiml020205


Cervical cancer remains a leading cause of death among females, posing a severe threat to women's health. Due to the uneven distribution of resources in different regions, there are challenges regarding physicians' experience, quantity, and medical conditions. Early screening, diagnosis, and treatment of cervical cancer still face significant obstacles. In recent years, artificial intelligence (AI) has been increasingly applied to various diseases' screening, diagnosis, and treatment. Currently, AI has many research applications in cervical cancer screening, diagnosis, treatment, and prognosis, assisting doctors and clinical experts in decision-making, improving efficiency and accuracy. This study discusses the application of AI in cervical cancer screening, including HPV typing and detection, cervical cytology screening, and colposcopy screening, as well as AI in cervical cancer diagnosis and treatment, including magnetic resonance imaging (MRI) and computed tomography (CT). Finally, the study briefly describes the current challenges faced by AI applications in cervical cancer and proposes future research directions.

Item Type:Article
Uncontrolled Keywords:Cervical cancer; Cervical intraepithelial neoplasia (CIN); Artificial intelligence; Deep learning; Cervical cancer early screening; Cervical cancer diagnosis
Group:Bournemouth University Business School
ID Code:38710
Deposited By: Symplectic RT2
Deposited On:19 Jun 2023 15:07
Last Modified:19 Jun 2023 15:07


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