Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19

Intern Emerg Med. 2022 Oct;17(7):1855-1857. doi: 10.1007/s11739-022-03080-z. Epub 2022 Sep 5.

Pietro Ferrara^{1

2}, Sebastiano Battiato³, Riccardo Polosa^{4

5

6}

¹ Center for Public Health Research, University of Milan Bicocca, Monza, Italy.
² IRCCS Istituto Auxologico Italiano, Milan, Italy.
³ Department of Mathematics and Computer Science, University of Catania, Catania, Italy.
⁴ Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Catania, Italy. polosa@unict.it.
⁵ Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy. polosa@unict.it.
⁶ Institute of Internal Medicine, AOU "Policlinico-V. Emanuele", Via S. Sofia, 78, Catania, Italy. polosa@unict.it.

No abstract available

Keywords: Artificial intelligence; COVID-19; Disease mortality; Machine learning; Medical practice.

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