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.
Cancer Biol Med. 2024 Sep 19;21(10):864-79. doi: 10.20892/j.issn.2095-3941.2024.0198.
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.
宫颈癌严重威胁着女性的健康。大多数宫颈癌病例发生在发展中国家。世界卫生组织提出，到 2030 年，通过高性能检测手段，对 35 至 45 岁的 70%的女性进行筛查，以加速消除宫颈癌。由于卫生基础设施和有组织的筛查策略不足，大多数中低收入国家仍远未实现这一目标。作为提高宫颈癌筛查效能的努力的一部分，有必要研究最准确、最有效和最有效的方法和策略。人工智能（AI）在癌症筛查和诊断中的应用正在迅速扩大，深度学习算法在各种医学图像上提供了类似人类的解释能力。人工智能将很快在改善宫颈癌筛查、管理和随访方面发挥更重要的作用。本综述旨在报告 AI 在宫颈癌筛查方面的现状。我们讨论了 AI 在识别异常细胞学和宫颈肿瘤性疾病方面的主要应用和发展，以及我们预计未来会面临的挑战。
