Artificial Intelligence as a Promising Tool for Evaluating COVID-19 Severity

Document Type : Letter to Editor

Authors

1 Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

2 Department of Microbiology and Microbial Biotechnology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.

3 Department of Cell and Molecular Biology, School of Biology, College of Science, University of Tehran, Tehran, Iran.

4 Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran.

10.32598/ARI.81.4.3707

Abstract

The COVID-19 pandemic has posed unprecedented challenges to global healthcare systems, especially in the timely assessment of disease severity and resource allocation. Traditional clinical and imaging markers, although useful, often lack the sensitivity and speed necessary for early and accurate patient classification. In this context, artificial intelligence (AI) has emerged as a transformative tool in assessing COVID-19 severity, aiding diagnosis, prognosis, and clinical decision-making.

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