Abstract
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 language | English (US) |
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Title of host publication | Global Virology III |
Subtitle of host publication | Virology in the 21st Century |
Publisher | Springer International Publishing |
Pages | 405-422 |
Number of pages | 18 |
ISBN (Electronic) | 9783030290221 |
ISBN (Print) | 9783030290214 |
DOIs | |
State | Published - Jan 1 2019 |
Externally published | Yes |
Keywords
- 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