Post-COVID highlights: Challenges and solutions of artificial intelligence techniques for swift identification of COVID-19

Curr Opin Struct Biol. 2024 Feb 15;85:102778. doi: 10.1016/j.sbi.2024.102778. Online ahead of print.ABSTRACTSince the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the rapid spread of the virus, and enhance intervention outcomes, all in response to this unprecedented global crisis. As we transition into a post-COVID era, we retrospectively evaluate these proposed studies and offer a review of the techniques employed in AI diagnostic models, with a focus on the solutions proposed for different challenges. This review endeavors to provide insights into the diverse solutions designed to address the multifaceted challenges that arose during the pandemic. By doing so, we aim to prepare the AI community for the development of AI tools tailored to address public health emergencies effectively.PMID:38364679 | DOI:10.1016/j.sbi.2024.102778
Source: Current Opinion in Structural Biology - Category: Biology Authors: Source Type: research