Artificial-intelligence tools aim to tame the coronavirus literature

The COVID-19 literature has grown in much the same way as the disease’s transmission: exponentially. The NIH’s COVID-19 Portfolio, a website that tracks papers related to the SARS-CoV-2 coronavirus and the disease it causes, lists more than 28,000 articles — far too many for any researcher to read (See ‘Explosive Growth’; code and data at But a fast-growing set of artificial-intelligence (AI) tools might help researchers and clinicians to quickly sift through the literature.

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  • Name: Hutson, Matthew, Type: Corresponding Author,
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DOI 10.1038/d41586-020-01733-7
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