Current status and prospects of artificial intelligence in schistosomiasis prevention and control
10.16250/j.32.1374.2022198
- VernacularTitle:人工智能在血吸虫病防控中的应用现状与前景
- Author:
Zi-ang LI
1
,
2
;
Yi-ping JIAO
1
,
2
;
Jun XU
1
Author Information
1. Institute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
2. Co-first authors
- Publication Type:Journal Article
- Keywords:
Schistosomiasis;
Artificial intelligence;
Computer-aided diagnosis;
Hepatic fibrosis;
Ectopic schistosomiasis;
Precision control
- From:
Chinese Journal of Schistosomiasis Control
2022;34(5):453-457
- CountryChina
- Language:Chinese
-
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.
