Artificial intelligence (AI) is playing several roles in healthcare responses to COVID-19. AI has helped map pandemic spread, forecast effects of different public health strategies, and trace contacts of confirmed cases. AI can facilitate earlier diagnosis by helping design rapid virus detection assays and analyse medical imaging data from suspected cases. It may identify patients at risk of clinical deterioration and poor outcomes, and pinpoint existing drugs for repurposing to treat the disease, propose new compounds for development, and suggest immunogenic viral proteins as targets for vaccines. Further research will likely accelerate emergence of effective AI-mediated responses to COVID-19.
在醫療保健中人工智能（AI）對COVID-19的影響扮演多重角色。AI已可繪製出大流行的分佈圖，預測了不同公共衛生策略的效果，並追踪確診病例的接觸情形。AI設計快速的病毒檢測方法並分析可疑病例的醫學影像數據，有助於早期診斷。它可以識別有臨床惡化和預後不良風險的患者，並查明將現有藥物用於治療該疾病的用途，提出新的開發建議，並提出免疫原性病毒蛋白作為疫苗的靶標。後續的研究可能會加速AI介導的對COVID-19的有效反應的出現。
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