Abstract:Background: Little is known about the role of artificial intelligence (AI) as a decisive technology in the clinical management of COVID-19 patients. We aimed to systematically review and critically appraise the current evidence on AI applications for COVID-19 in intensive care and emergency settings, focusing on methods, reporting standards, and clinical utility.
Methods: We systematically searched PubMed, Embase, Scopus, CINAHL, IEEE Xplore, and ACM Digital Library databases from inception to 1 October 2020, … Show more
“…The COVID-19 research is quickly moving forward. Each day hundreds of new papers are published [95][96][97]. As AI starts to play an increasingly important role in clinical practice [98,99], it is crucial to evaluate its performance correctly.…”
Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.
“…The COVID-19 research is quickly moving forward. Each day hundreds of new papers are published [95][96][97]. As AI starts to play an increasingly important role in clinical practice [98,99], it is crucial to evaluate its performance correctly.…”
Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.
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