Smart Healthcare Systems in Combating Infectious Diseases Outbreaks

Abstract

The emerging paradigm for healthcare technology is smart healthcare systems. The systems collect patient data, store in a database, analyse it, and then offer remedies based on the findings using sensors, computers, and other technology. Microorganisms like viruses, bacteria, parasites, or fungi can spread either directly or indirectly, leading to infectious diseases. These diseases and infection proliferation could lead to a worldwide pandemic like COVID-19. With the advent of deep neural networks, natural language processing, computer vision, and robotics in recent years, artificial intelligence (AI) has advanced significantly. Many of the health service functions currently provided by physicians and administrators are projected to be replaced by AI in the upcoming years, and these techniques are currently being actively used in the healthcare sector. The emergence of AI can assist scientists in understanding the behaviour of microbes, forecasting infectious diseases to stop the spread of pandemics, and finding drugs more quickly to treat diseases. Machine learning (ML) methods can also be used to stop the spread of outbreaks of fatal infectious diseases. In response to pandemics, particularly COVID-19, significant ML-based solutions have been developed. In order to mitigate the spread of infectious diseases, the present study covers prospective uses of AI- and ML-based methods that benefit medical facilities and the health of the entire world population.