Article Information
Published By
History
- Received May 30, 2024
- Accepted August 12, 2024
- Published online September 19, 2024.
Article Versions
- You are currently viewing a previous version of this article (September 19, 2024 - 03:05).
- View the most recent version of this article
Copyright & Usage
Copyright: © 2024, The Authors This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.
Author Information
- 1School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- 2Early Detection, Prevention & Infections Branch International Agency for Research on Cancer (WHO), 25 avenue Tony Garnier, Lyon 69007, France
- 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
- Correspondence to: Youlin Qiao and Partha Basu, E-mail: qiaoy{at}cicams.ac.cn and basup{at}iarc.who.int
Funding
CAMS Innovation Fund for Medical Sciences
CAMS 2021-I2M-1-004Bill & Melinda Gates Foundation
INV-031449
This study was supported by grants from CAMS Innovation Fund for Medical Sciences (Grant No. CAMS 2021-I2M-1-004) and from the Bill & Melinda Gates Foundation (Grant No. INV-031449).
In this issue
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
Related Articles
Cited By...
- No citing articles found.