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The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
Nature Machine Intelligence ( IF 18.8 ) Pub Date : 2020-05-22 , DOI: 10.1038/s42256-020-0185-2
Yipeng Hu , Joseph Jacob , Geoffrey J. M. Parker , David J. Hawkes , John R. Hurst , Danail Stoyanov

The attention and resources of AI researchers have been captured by COVID-19. However, successful adoption of AI models in the fight against the pandemic is facing various challenges, including moving clinical needs as the epidemic progresses and the necessity to translate models to local healthcare situations.

中文翻译:

在快速发展的大流行中部署人工智能模型的挑战

AI研究人员的注意力和资源已被COVID-19捕获。但是,在抗击大流行的过程中成功采用AI模型面临着各种挑战,包括随着流行病的发展而改变临床需求以及将模型转换为当地医疗保健状况的必要性。
更新日期:2020-05-22
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