Chinese Journal of Schistosomiasis Control ›› 2022, Vol. 34 ›› Issue (5): 453-.

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

LI Zi⁃ang△, JIAO Yi⁃ping△, XU Jun*   

  1. nstitute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
  • Online:2022-11-23 Published:2022-11-23

人工智能在血吸虫病防控中的应用现状与前景

李子昂△,焦一平△,徐军*   

  1. 南京信息工程大学智慧医疗研究院(江苏 南京 210044)
  • 通讯作者: 徐军,南京信息工程大学人工智能学院/智慧医疗研究院教授、副院长,兼任2022年第九届医学图像计算青年研讨会主席、江苏省人工智能学会医学图像处理专委会副主任、中华医学会数字病理与人工智能委员、医学图像计算青年在线研讨会常委等。在《IEEE Transactions On Medical Imaging》、 《Medical Image Analysis》、《The Lancet Digital Health》、《The Journal of Clinical Investigation》等国际同行评议期刊上发表多篇高水平论文;据Google Scholar统计,论文总被引频次达3 000余次,单篇论文最高被引频次达700余次。先后主持国家自然科学基金联合重点项目、国家自然科学基金面上项目及省部级项目多项,参与国家自然科学基金重大研究计划重点项目和重大集成项目多项。
  • 作者简介:李子昂,男,硕士研究生。研究方向:计算病理 焦一平,男,博士,副研究员。研究方向:计算病理
  • 基金资助:
    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)

Abstract: 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.

Key words: Schistosomiasis, Artificial intelligence, Computer?aided diagnosis, Hepatic fibrosis, Ectopic schistosomiasis, Precision control

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。

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

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