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非洲疟疾控制计划中的人工智能:机遇和风险

Emmanuel Ifeanyi Obeagu1, Fabian Chukwudi Ogenyi2

  • 1Department of Biomedical and Laboratory Science, Africa University, Mutare, Zimbabwe.

Annals of medicine and surgery (2012)
|December 11, 2025
PubMed
概括

人工智能 (AI) 通过加强监测,诊断和疫情预测,可以显著改善非洲的疟疾控制. 这篇评论探讨了人工智能应用,挑战和消除疟疾的机会.

关键词:
在撒哈拉以南的非洲.流感病毒 (Plasmodium) 是一种病毒.算法算法是一种算法.人工智能是一种人工智能.疟疾/预防和控制

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Malaria pathogenesis in humans reflects a delicate interplay between parasite biology and host response. Clinical illness reflects a host’s immune response to the parasite’s asexual replication cycle, which is often asymptomatic in individuals with partial immunity. From the parasite's perspective, transmission between mosquito and human with minimal host pathology is evolutionarily advantageous. Among the six Plasmodium species infecting humans, P. falciparum and P. vivax dominate in global...