Background: The widespread use of the human papillomavirus (HPV) vaccine and the rise in digital technologies like artificial intelligence (AI) are causing significant changes in the paradigms surrounding cervical cancer screening.Objective: This review addresses potential future paths toward risk-based, customized screening and prevention while summarizing the available data on how vaccination and digital innovation are changing cervical cancer screening methods.Results: A shift from cytology-based screening to HPV-based primary testing with longer intervals has been supported by the notable decrease in high-grade cervical lesions brought about by HPV vaccination. However, AI and digital health tools, such as digital colposcopy, automated cytology, telemedicine, and self-sampling, have the potential to increase diagnostic access, accuracy, and efficiency, especially in low-resource environments. Implementation hurdles, data security, and algorithmic bias are major obstacles.Conclusions: Digital platforms, molecular diagnostics, and vaccination histories must all be incorporated into screening methods in order to keep up with the decline in HPV-related illness. The elimination of cervical cancer could be accelerated and equality and efficiency increased with customized, risk-based algorithms.
背景：人乳头瘤病毒（HPV）疫苗的广泛应用以及人工智能（AI）等数字技术的兴起，正在引发宫颈癌筛查范式的显著变革。 目的：本综述在总结现有关于疫苗接种与数字创新如何改变宫颈癌筛查方法的数据基础上，探讨未来基于风险、个体化筛查与预防的可能路径。 结果：HPV疫苗接种导致的高级别宫颈病变显著减少，支持了筛查方式从基于细胞学检测向以HPV检测为主、延长筛查间隔的转变。同时，数字阴道镜、自动化细胞学分析、远程医疗及自采样等AI与数字健康工具，尤其在资源匮乏地区，有望提升诊断的可及性、准确性与效率。然而，实施障碍、数据安全及算法偏见仍是主要挑战。 结论：为适应HPV相关疾病的减少趋势，筛查方法需整合数字平台、分子诊断与疫苗接种史。采用基于风险的个体化算法，有望提升筛查的公平性与效率，从而加速实现消除宫颈癌的目标。
肿瘤(癌症)患者之家