A Registry-based Audit of a Current Situation of Clinical Research in COVID-19 Using Artificial Intelligence Techniques: A Systematic Review

Abstract

Background: The term artificial intelligence refers to the use of computers and technology to replicate intelligent behaviour and critical thinking similar to that of a human being. In COVID-19, artificial intelligence has been widely applied in diagnostics, public health, clinical decision-making, social control, treatments, vaccine development, monitoring, integration with big data, operation of additional vital clinical services, and patient management. Hence, we conceptualized this study to evaluate the usage of artificial intelligence as a tool at the time of the COVID-19 pandemic. Methods: From December, 2019, to May, 2022, all clinical trials using AI approaches listed on clinicaltrials.gov and ctri.gov.in were examined and analysed. Results: Out of 8072 studies on COVID-19 listed on ClinicalTrials.gov and 674 studies on the CTRI website, 53 studies were related to AI. Ten (18.9%) of the 53 studies were interventional, while the remaining 43 (81.1%) were observational. Conclusion: With limited medical resources and growing healthcare strain, the introduction of AI approaches will increase human efficiency and capacity to combat the COVID-19 pandemic. In this review, artificial intelligence was proven to be more accurate than human specialists in COVID-19 diagnosis and medication discovery.