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Recent Advancement of Artificial Intelligence in COVID-19: Prediction, Diagnosis, Monitoring, and Drug Development

  • Priya Rachel Bachan,
  • Udit Narayan Bera,
  • Prakriti Kapoor

摘要

This paper intends to summarize the important applications of Artificial Intelligence and Machine Learning during the COVID-19 outbreak. In recent past, world has seen a massive pandemic due to COVID-19 virus outbreak, which affected millions of people across all nations. There have been tremendous implications and applications of Artificial Intelligence and Machine Learning, along with deep learning and Neural Networks, in the field of medical science, which has expanded the traditional dynamics of medical science and enhanced the decision-making as well as treatment delivery to the patients. Artificial Intelligence- and Machine Learning-based models have provided tools in numerous fronts, through which this pandemic can be overcome. In this paper, we have emphasized on the various important applications of Artificial Intelligence- and Machine Learning-based algorithms and models in the medical field for predicting the number of COVID-19-affected patients, diagnosing and detecting the virus, monitoring its spread as well as development of drugs and vaccines.