首页|Artificial intelligence strengthenes cervical cancer screening-present and future
Artificial intelligence strengthenes cervical cancer screening-present and future
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Cervical cancer is a severe threat to women's health.The majority of cervical cancer cases occur in developing countries.The WHO has proposed screening 70%of women with high-performance tests between 35 and 45 years of age by 2030 to accelerate the elimination of cervical cancer.Due to an inadequate health infrastructure and organized screening strategy,most low-and middle-income countries are still far from achieving this goal.As part of the efforts to increase performance of cervical cancer screening,it is necessary to investigate the most accurate,efficient,and effective methods and strategies.Artificial intelligence(AI)is rapidly expanding its application in cancer screening and diagnosis and deep learning algorithms have offered human-like interpretation capabilities on various medical images.AI will soon have a more significant role in improving the implementation of cervical cancer screening,management,and follow-up.This review aims to report the state of AI with respect to cervical cancer screening.We discuss the primary AI applications and development of AI technology for image recognition applied to detection of abnormal cytology and cervical neoplastic diseases,as well as the challenges that we anticipate in the future.
Cervical cancer screeningartificial intelligencedeep learning algorithms
School of Population Medicine and Public Health,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100730,China
Early Detection,Prevention&Infections Branch International Agency for Research on Cancer(WHO),25 avenue Tony Garnier,Lyon 69007,France
Department 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
CAMS Innovation Fund for Medical Sciencesfrom the Bill&Melinda Gates Foundation
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