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.
［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。人工智能技术巳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，人工智能技术巳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、毛呦自动检测，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。.

One cases of ectopic schistosomiasis in fallopian tube was found by the histopathological examination in Jingmen City. After surgery and anthelmintic treatment with praziquantel, the curative effect was satisfactory. This case suggests that in schistosomiasis endemic area, the imaging technology and tissue pathological examination should be used sufficiently for the differential diagnosis of ectopic schistosomiasis, so as to reduce misdiagnosis.
[摘要] 荆门市经组织病理学检查发现输卵管异位血吸虫病1例, 经手术和吡喹酮抗虫治疗, 取得满意疗效。此例提示 在血吸虫病流行区, 应充分运用影像学技术和组织病理学手段加强对异位血吸虫病的鉴别诊断, 以减少误诊。.