Combating COVID-19 Crisis using Artificial Intelligence (AI) Based Approach: Systematic Review.

Journal: Current topics in medicinal chemistry
Published Date:

Abstract

BACKGROUND: SARS-CoV-2, the unique coronavirus that causes COVID-19, has wreaked damage around the globe, with victims displaying a wide range of difficulties that have encouraged medical professionals to look for innovative technical solutions and therapeutic approaches. Artificial intelligence-based methods have contributed a significant part in tackling complicated issues, and some institutions have been quick to embrace and tailor these solutions in response to the COVID-19 pandemic's obstacles. Here, in this review article, we have covered a few DL techniques for COVID-19 detection and diagnosis, as well as ML techniques for COVID-19 identification, severity classification, vaccine and drug development, mortality rate prediction, contact tracing, risk assessment, and public distancing. This review illustrates the overall impact of AI/ML tools on tackling and managing the outbreak.

Authors

  • Kavya Singh
    Department of Biotechnology, Banasthali University, Banasthali Vidyapith, Banasthali, 304022, Rajasthan, India.
  • Navjeet Kaur
    Department of Chemistry & Division of Research and Development, Lovely Professional University, Phagwara, 144411, Punjab, India.
  • Ashish Prabhu
    Biotechnology Department, NIT Warangal, Warangal, 506004, Telangana, India.