人工智能在血吸虫病防控中的应用现状与前景  

Current status and prospects of artificial intelligence in schistosomiasis prevention and control

作　　者：李子昂 焦一平 徐军[1] LI Zi-ang;JIAO Yi-ping;XU Jun(nstitute for Artificial Intelligence in Medicine,Nanjing University of Information Science and Technology,Nanjing,Jiangsu 210044)

机构地区：[1]南京信息工程大学智慧医疗研究院,江苏南京210044

出　　处：《中国血吸虫病防治杂志》2022年第5期453-457,483,共6页Chinese Journal of Schistosomiasis Control

基　　金：国家自然科学基金(U1809205,62171230,92159301,61771249,91959207,81871352);南京信息工程大学人才启动基金(2022r082)。

摘　　要：血吸虫病是一种严重危害人类健康、影响社会经济发展的寄生虫病。人工智能技术已广泛应用于肿瘤筛查、心电图、影像学与病理学分析等临床医学领域,并有望实现血吸虫病精准防控。目前,人工智能技术已应用于血吸虫病肝纤维化、异位血吸虫病临床评估,晚期血吸虫病预后预测,钉螺、虫卵、毛蚴自动检测,血吸虫病流行病学监测和药物发现等方面。本文对近年来人工智能技术在血吸虫病防控领域的应用进展与前景进行综述。Schistosomiasis is a parasitic disease that seriously endangers human health and affects socioeconomic developments. Artificial intelligence technology has been widely used in clinical medical sciences, including tumor screening, and electrocardiogram, imaging and pathological analyses, which has potential for precision control of schistosomiasis. Currently, artificial intelligence technology has been employed for clinical assessment of schistosomiasis-associated hepatic fibrosis and ectopic schistosomiasis, prognostic prediction of advanced schistosomiasis, automated identification of Oncomelania hupensis and Schistosoma japonicum eggs and miracidia, epidemiological surveillance of schistosomiasis, and drug discovery. This review summarizes the advances in the applications of artificial intelligence technology in the management of schistosomiasis and proposes the prospects for the use of artificial intelligence in schistosomiasis elimination.

关 键 词：血吸虫病 人工智能 计算机辅助诊断 肝纤维化 异位血吸虫病 精准防治 

分 类 号：R532.21[医药卫生—内科学]