01963nas a2200205   4500000000100000008004100001260003800042653002800080653003200108653002200140653001500162653001300177100001200190700001300202245011000215300001200325520137700337022002501714020001801739       2022                            d  bSpringer International Publishing10aArtificial Intelligence10aMachine learning algorithms10aBig data analytic10aSARS-COV-210aCovid-191 aDafir Z1 aSlaoui S00aAchievements of Artificial Intelligence in the Past and During the COVID-19 Era to Tackle Deadly Diseases  a181-1913 a<p>Processing big data based on machine learning tools and deep learning models have become crucial in finding solutions to various problems in different fields. In particular, artificial intelligence systems play a key role in improving performance and increasing the speed of a clinical decision for a given clinical issue. In that respect, the outbreak of the virus caused by SARS-CoV-2 across the world has caused panic and unrest among people which required the rapid intervention of bioinformatics researchers and health professionals to discover the relevant clinical treatment. The main concern of the paper is to emphasize the usefulness of artificial intelligence and Big Data analytic for treating diseases. Thus, it discusses the past success of artificial intelligence and big data analytic for healthcare applications. It also presents the current advancements in machine learning tools as well as deep learning models for processing data sets related to the COVID-19 virus. In addition to that, the proposed work puts emphasis on the requirements of artificial intelligence models to make suitable clinical decisions. And finally, it gives a proposed analysis of the main factors that help decrease the spread of a pandemic in the world.</p>

<p>Keywords: Artificial intelligence; Machine learning algorithms; Big data analytic; SARS-CoV-2; Covid-19</p>
  a2211-0984, 2211-0992  a9783031099083