Exploring medical data with the use of AI and ML has the potential to improve decisionmaking and forecasting in the healthcare industry. The use of AI and ML in the fight against the COVID-19 pandemic has been demonstrated in recent studies. This review paper aims to do just that by compiling the findings of the most up-to-date research using AI and ML to combat the spread of the deadly COVID-19 virus. After a rigorous process of including and excluding items, just 40 were chosen from the original collection of 726. In our review, we looked at how AI/ML has been used to combat the COVID-19 pandemic, the context of the studies that have been conducted so far (i.e., whether they have been limited to a single country or taken a more global view), the size and variety of datasets that have been used, the methodologies, algorithms, and techniques that have been used to make predictions and diagnoses, and how these have been mapped to the underlying data types to best demonstrate their predictive power. To illustrate the current state of AI in the fight against COVID-19 and the possible scope for future research, we zeroed attention on the usage of AI/ML in assessing the pandemic data.