Review ArticleReview
Open Access
Artificial intelligence strengthenes cervical cancer screening – present and future
Tong Wu, Eric Lucas, Fanghui Zhao, Partha Basu and Youlin Qiao
Cancer Biology & Medicine September 2024, 20240198; DOI: https://doi.org/10.20892/j.issn.2095-3941.2024.0198
Tong Wu
1School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
Eric Lucas
2Early Detection, Prevention & Infections Branch International Agency for Research on Cancer (WHO), 25 avenue Tony Garnier, Lyon 69007, France
Fanghui Zhao
3Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
Partha Basu
2Early Detection, Prevention & Infections Branch International Agency for Research on Cancer (WHO), 25 avenue Tony Garnier, Lyon 69007, France
Youlin Qiao
1School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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In this issue
Artificial intelligence strengthenes cervical cancer screening – present and future
Tong Wu, Eric Lucas, Fanghui Zhao, Partha Basu, Youlin Qiao
Cancer Biology & Medicine Sep 2024, 20240198; DOI: 10.20892/j.issn.2095-3941.2024.0198
Jump to section
- Article
- Abstract
- Introduction
- Machine learning in cervical cancer risk prediction
- AI-guided technologies in cervical cancer screening
- AI-guided methods in enhancing cervical cytology
- AI applications in colposcopic diagnosis and assistance in biopsies
- AI-assisted Cervical Cancer Screening Challenges and Suggestions
- Conclusions
- Conflicts of interest statement
- Author contributions
- Acknowledgements
- References
- Figures & Data
- Info & Metrics
- References
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