AI and IoT-assisted Healthcare Practices for Smart Management During Global Pandemics

Pandemics are disasters that create havoc on the entire planet by spreading infectious diseases at an unprecedented rate. Recently, the Covid-19 virus has caused massive levels of devastation throughout the world, with an exponential rise in the number of cases and the death toll. With this, a wave of “life fear” spread among the people across the countries that had disturbed the entire medical community. The current healthcare system around the world was confronted with the potential issue of not having enough resources to help many patients at once, which resulted in mental strain among healthcare professionals and the general public. Thus, various research institutions and organizations scrambled to find technological solutions to the virus's problems and a vaccine or other medication to stop its spread. Computational technologies such as artificial intelligence (AI) and the internet of things (IoT), cloud computing, big data, blockchain, robots, drones, etc. are the various advancements that can easily inhibit the growth of this disease, ascertain critical patients, and assist in real-time contagion control. Therefore, in this study, the emphasis is on the artificial intelligence and Internet of things-powered technologies that can be used for covid detection and further diagnosis in five phases, starting with symptom detection, testing, diagnosis of home quarantine patients, treatment of hospitalized patients, and the post-covid recovery of the patients. Therefore, it is imperative to take lessons from the current pandemic and prepare for pandemics similar to Covid- 19 in the future.