Artificial Intelligence in Post Pandemic

Journal Title: Journal of Clinical Medical Research - Year 2022, Vol 3, Issue 2

Abstract

In 1997, artificial intelligence burst onto the scene with news that made the front pages of newspapers. It was reported that the DEEP BLUE robot had defeated the world chess champion Gary Kasparov. This event shook up the way technology was understood and incidentally, it reminded us that chess was the favorite medium to test artificial intelligence. Today, the power of that robot is surpassed by smartphones designed for use on a daily basis [1]. More than two years after the start (and declaration) of the COVID-19 pandemic, its domino effect has not stopped and outbreaks of new variants emerge with certain periodicity. Therefore, it is necessary to analyze and summarize [2-4]. At the closing of this editorial, the pandemic has caused 515 million infections and more than 6 million people have died worldwide. To date, no intelligent software has been able to give us the date of the end of the pandemic. The outbreaks in countries like China and the upward curves in England collapsing the health system, show us a SARS-Cov-2 that is still highly active (with the sub variant omicron BA.2.12.1). It could not be otherwise since, in addition to its great capacity to mutate and produce more contagious versions, there are still many populations around the world with a low percentage of vaccinated people (or people who have not completed the entire vaccination program). This, in turn, further favors the transmission and spread of the virus. There is also a lack of reliable information from many places. The latter is a paradox since never before has there been a time with so much access to information and data [5].

Authors and Affiliations

Jaime Hinzpeter1*

Keywords

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  • EP ID EP708496
  • DOI http://dx.doi.org/10.46889/JCMR.2022.3206
  • Views 65
  • Downloads 0

How To Cite

Jaime Hinzpeter1* (2022). Artificial Intelligence in Post Pandemic. Journal of Clinical Medical Research, 3(2), -. https://europub.co.uk/articles/-A-708496