领域
传染病(医学专业)
大流行
转化式学习
人性
2019年冠状病毒病(COVID-19)
接触追踪
爆发
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
环境伦理学
工程伦理学
疾病
医学
病毒学
政治学
社会学
工程类
法学
病理
教育学
哲学
作者
Chunhui Li,Guoguo Ye,Yinghan Jiang,Zhiming Wang,Haiyang Yu,Minghui Yang
摘要
Abstract It is widely acknowledged that infectious diseases have wrought immense havoc on human society, being regarded as adversaries from which humanity cannot elude. In recent years, the advancement of Artificial Intelligence (AI) technology has ushered in a revolutionary era in the realm of infectious disease prevention and control. This evolution encompasses early warning of outbreaks, contact tracing, infection diagnosis, drug discovery, and the facilitation of drug design, alongside other facets of epidemic management. This article presents an overview of the utilization of AI systems in the field of infectious diseases, with a specific focus on their role during the COVID‐19 pandemic. The article also highlights the contemporary challenges that AI confronts within this domain and posits strategies for their mitigation. There exists an imperative to further harness the potential applications of AI across multiple domains to augment its capacity in effectively addressing future disease outbreaks.
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