Eliminating cervical cancer: A role for artificial intelligence

Lynette J. Menezes, Charurut Somboonwit, Lianet Vazquez, Chilukuri K. Mohan

Research output: Chapter in Book/Entry/PoemChapter

2 Scopus citations


Cervical cancer caused by infection with the human papillomavirus (HPV), is the leading cause of mortality among women in many low-resource countries and the fourth leading cause of mortality globally. Decades of cervical cytology screening with subsequent treatment have resulted in marked declines in incidence and mortality of cervical cancer in developed regions, but resource-deprived regions lag behind because of suboptimal access to screening and treatment. Artificial intelligence (AI) technologies are showing promising results in early detection and prediction of cervical cancer progression with potential for future integration into screening and treatment modalities. This chapter begins with an overview of HPV infection, examines HPV pathogenesis and cervical cancer epidemiology; discusses the effectiveness of current primary and secondary prevention strategies and explores the potential role of AI technologies in improving cervical screening, diagnosis and treatment with the goal of eliminating cervical cancer.

Original languageEnglish (US)
Title of host publicationGlobal Virology III
Subtitle of host publicationVirology in the 21st Century
PublisherSpringer International Publishing
Number of pages18
ISBN (Electronic)9783030290221
ISBN (Print)9783030290214
StatePublished - Jan 1 2019
Externally publishedYes


  • Artificial intelligence
  • Artificial neural networks
  • Cervical cancer
  • Cervical screening
  • HPV
  • HPV testing
  • HPV vaccination
  • Human papillomavirus
  • Machine learning
  • Pap test

ASJC Scopus subject areas

  • General Medicine
  • General Immunology and Microbiology
  • General Neuroscience


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