Abstract

In today's world, artificial intelligence is rapidly advancing and has become present in many aspects of human life, one of which is health and prevention. When Corona engulfed the whole world, governments and international organizations began to think about having a comprehensive plan in the field of infectious diseases in order to prevent the rapid and widespread spread of diseases such as Corona and to manage and control them if these diseases occur. In this field, artificial intelligence has shown great potential to accelerate infectious disease imaging research and improve clinical care. In this study, using a descriptive analytical method, the impact of artificial intelligence on reducing the spread of infectious diseases is investigated. The results show that infectious diseases such as Spanish flu, tuberculosis, Ebola, SARS, influenza and Corona have been some of the main causes of death worldwide, especially in low-income countries, despite advances in medicine. As governments around the world work with local authorities and healthcare professionals to monitor, respond to, and slow the spread of infectious diseases, health experts are using predictive modeling to improve current interventions to prevent further infections.