大数据和人工智能在性传播疾病防治中的应用

doi:10.35541/cjd.20260098

中华皮肤科杂志 ›› 2026, e20260098.doi: 10.35541/cjd.20260098

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大数据和人工智能在性传播疾病防治中的应用

华敏霞¹ 谢依婷¹ 岳晓丽² 李婧² 张家晖² 龚向东²

¹北京协和医学院/中国医学科学院/皮肤病医院/皮肤病研究所，南京 210042； ²中国医学科学院北京协和医学院，皮肤病医院中国疾病预防控制中心性病控制中心性病流行病学室，南京 210042

收稿日期:2026-02-25 修回日期:2026-09-09 发布日期:2026-10-08
通讯作者: 龚向东 E-mail:gxdchina@163.com

Application of big data and artificial intelligence in the prevention and control of sexually transmitted diseases

Hua Minxia¹, Xie Yiting¹, Yue Xiaoli², Li Jing², Zhang Jiahui², Gong Xiangdong²

¹Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing 210042, China; ²Division of Sexually Transmitted Disease Epidemiology, National Center for STD Control, Chinese Center for Disease Control and Prevention, Hospital for Skin Diseases, Chinese Academy of Medical Sciences ＆ Peking Union Medical College, Nanjing 210042, China

Received:2026-02-25 Revised:2026-09-09 Published:2026-10-08
Contact: Gong Xiangdong E-mail:gxdchina@163.com

摘要/Abstract

摘要： 【摘要】传统性传播疾病（STD）防治在多源信息整合、非结构化数据利用及快速风险识别等方面仍存在一定局限性。伴随疾病监测、行为调查、临床诊疗、医学图像及互联网等数据的持续积累，大数据与人工智能（AI）在STD防治中的应用逐步拓展。本文系统梳理大数据与AI在STD流行病学监测预测、风险评估与个性化干预、辅助诊断与治疗决策以及公共卫生政策制定与评价等方面的研究进展，并剖析数据质量、模型泛化、隐私保护与伦理及实际转化等层面所面临的问题与挑战，进而结合我国STD防治需求探讨未来发展方向。

关键词: 性传播疾病, 大数据, 人工智能, 流行病学, 诊断, 防治

Abstract: 【Abstract】 Traditional approaches to the prevention and control of sexually transmitted diseases （STDs） have certain limitations in multisource data integration, utilization of unstructured data, and rapid risk identification. With the increasing accumulation of data from disease surveillance, behavioral surveys, clinical care, medical imaging, and internet-based sources, the applications of big data and artificial intelligence （AI） in STD prevention and control have gradually expanded. This review summarizes research progress in the application of big data and AI to STD epidemiological surveillance and trend prediction, risk assessment and individualized intervention strategies, AI-assisted diagnosis and treatment decision-making, and public health policy development and evaluation. It also discusses challenges related to data quality, model generalizability, data privacy protection and ethical issues, and real-world translation, and explores future directions in light of the needs of STD prevention and control in China.

Key words: Sexually transmitted diseases, Big data, Artificial intelligence, Epidemiology, Diagnosis, Prevention and treatment

华敏霞谢依婷岳晓丽李婧张家晖龚向东. 大数据和人工智能在性传播疾病防治中的应用[J]. 中华皮肤科杂志, 2026,e20260098. doi:10.35541/cjd.20260098

Hua Minxia¹, Xie Yiting¹, Yue Xiaoli², Li Jing², Zhang Jiahui², Gong Xiangdong². Application of big data and artificial intelligence in the prevention and control of sexually transmitted diseases[J]. Chinese Journal of Dermatology,2026,e20260098. doi:10.35541/cjd.20260098

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大数据和人工智能在性传播疾病防治中的应用

Application of big data and artificial intelligence in the prevention and control of sexually transmitted diseases

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