Artificial Intelligence in Cervical Cancer Research and Applications

Journal Title: Acadlore Transactions on AI and Machine Learning - Year 2023, Vol 2, Issue 2

Abstract

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.

Authors and Affiliations

Chunhui Liu,Jiahui Yang,Ying Liu,Ying Zhang,Shuang Liu,Tetiana Chaikovska,Chan Liu

Keywords

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  • EP ID EP731888
  • DOI https://doi.org/10.56578/ataiml020205
  • Views 22
  • Downloads 0

How To Cite

Chunhui Liu, Jiahui Yang, Ying Liu, Ying Zhang, Shuang Liu, Tetiana Chaikovska, Chan Liu (2023). Artificial Intelligence in Cervical Cancer Research and Applications. Acadlore Transactions on AI and Machine Learning, 2(2), -. https://europub.co.uk/articles/-A-731888