Hou Xin, Shen Guangyang, Zhou Liqiang, Li Yinuo, Wang Tian, Ma Xiangyi
Department of Obstetrics and Gynecology, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
Cancer Centre and Center of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Macau, Macau SAR, China.
Front Oncol. 2022 Mar 11;12:851367. doi: 10.3389/fonc.2022.851367. eCollection 2022.
Cervical cancer remains a leading cause of cancer death in women, seriously threatening their physical and mental health. It is an easily preventable cancer with early screening and diagnosis. Although technical advancements have significantly improved the early diagnosis of cervical cancer, accurate diagnosis remains difficult owing to various factors. In recent years, artificial intelligence (AI)-based medical diagnostic applications have been on the rise and have excellent applicability in the screening and diagnosis of cervical cancer. Their benefits include reduced time consumption, reduced need for professional and technical personnel, and no bias owing to subjective factors. We, thus, aimed to discuss how AI can be used in cervical cancer screening and diagnosis, particularly to improve the accuracy of early diagnosis. The application and challenges of using AI in the diagnosis and treatment of cervical cancer are also discussed.
宫颈癌仍然是女性癌症死亡的主要原因，严重威胁着她们的身心健康。通过早期筛查和诊断，它是一种易于预防的癌症。尽管技术进步显著改善了宫颈癌的早期诊断，但由于各种因素，准确诊断仍然困难。近年来，基于人工智能（AI）的医学诊断应用不断兴起，在宫颈癌的筛查和诊断中具有出色的适用性。其优点包括减少时间消耗、减少对专业技术人员的需求以及不存在主观因素导致的偏差。因此，我们旨在探讨如何将人工智能用于宫颈癌筛查和诊断，特别是提高早期诊断的准确性。还讨论了人工智能在宫颈癌诊断和治疗中的应用及挑战。
