Your browser doesn't support javascript.
loading
[Current status and prospects of artificial intelligence in schistosomiasis prevention and control].
Li, Z A; Jiao, Y P; Xu, J.
Afiliação
  • Li ZA; Institute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
  • Jiao YP; Co-first authors.
  • Xu J; Institute for Artificial Intelligence in Medicine, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China.
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi ; 34(5): 453-457, 2022 Nov 10.
Article em Zh | MEDLINE | ID: mdl-36464266
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Schistosoma japonicum / Esquistossomose / Gastrópodes Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: Zh Revista: Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Schistosoma japonicum / Esquistossomose / Gastrópodes Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals / Humans Idioma: Zh Revista: Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China