  Artificial intelligence (AI) and machine learning (ML) have made a paradigm
shift in health care which, eventually can be used for decision support and
forecasting by exploring the medical data. Recent studies showed that AI and ML
can be used to fight against the COVID-19 pandemic. Therefore, the objective of
this review study is to summarize the recent AI and ML based studies that have
focused to fight against COVID-19 pandemic. From an initial set of 634
articles, a total of 35 articles were finally selected through an extensive
inclusion-exclusion process. In our review, we have explored the
objectives/aims of the existing studies (i.e., the role of AI/ML in fighting
COVID-19 pandemic); context of the study (i.e., study focused to a specific
country-context or with a global perspective); type and volume of dataset;
methodology, algorithms or techniques adopted in the prediction or diagnosis
processes; and mapping the algorithms/techniques with the data type
highlighting their prediction/classification accuracy. We particularly focused
on the uses of AI/ML in analyzing the pandemic data in order to depict the most
recent progress of AI for fighting against COVID-19 and pointed out the
potential scope of further research.
