Artificial intelligence as a fundamental tool in management of infectious diseases and its current implementation in COVID-19 pandemic

Abstract

The world has never been prepared for global pandemics like the COVID-19, currently posing an immense threat to the public and consistent pressure on the global healthcare systems to navigate optimized tools, equipments, medicines, and techno-driven approaches to retard the infection spread. The synergized outcome of artificial intelligence paradigms and human-driven control measures elicit a significant impact on screening, analysis, prediction, and tracking the currently infected individuals, and likely the future patients, with precision and accuracy, generating regular international and national data on confirmed, recovered, and death cases, as the current status of 3,820,869 infected patients worldwide. Artificial intelligence is a frontline concept, with timesaving, cost-effective, and productive access to disease management, rendering positive results in physician assistance in high workload conditions, radiology imaging, computational tomography, and database formulations, to facilitate availability of information accessible to researchers all over the globe. The review tends to elaborate the role of industry 4.0 technology, fast diagnostic procedures, and convolutional neural networks, as artificial intelligence aspects, in potentiating the COVID-19 management criteria and differentiating infection in SARS-CoV-2 positive and negative groups. Therefore, the review successfully supplements the processes of vaccine development, disease management, diagnosis, patient records, transmission inhibition, social distancing, and future pandemic predictions, with artificial intelligence revolution and smart techno processes to ensure that the human race wins this battle with COVID-19 and many more combats in the future.

The impact of mucormycosis (black fungus) on SARS-CoV-2-infected patients: at a glance

“…Fever, headache, coughing, shortness of breath, bloody vomit, and neurological symptoms, as well as discomfort and redness around the eyes or nose, are all warning signs (Tagde et al 2021b ) (Rahman et al 2020 ) (Sharma et al 2022 ) (Kaur et al 2021 ) (Rahman et al 2021a ). Loss of sensation or swelling on one side of the face, local discomfort on the cheekbone over the bridge of the nose/palate, there is a blackish discoloration.…”

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

“…ML-based algorithms construct the outcome, which is based on various linear and non-linear patterns found in the input risk predictors [ 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 ]. This is a critical feature of AI-driven algorithms that differentiates them from other traditional CVD risk assessments.…”

“…Model fitting and “learning” from data through model training are two critical components of ML [ 94 ]. One of the most popular forms of AI is ML, which is employed by 63% of businesses, according to a poll of 1100 US managers conducted by Deloitte in 2018 [ 95 ]. Figure 5 shows, in four sections, the basic AI technique that has led to many possible outcomes in the healthcare industry.…”

Nutraceuticals and Herbs in Reducing the Risk and Improving the Treatment of COVID-19 by Targeting SARS-CoV-2

“…have an effective result on health by boosting the immune system, particularly in those who have insufficient diet sources, and they have any anti-inflammatory, viricidal and radical scavenging features and these compounds should be recycled to reduce the adverse results that are reported after contamination with SARS-CoV-2. Subsequently, the use of natural products can provide complementary therapeutic and prophylactic help to prevent COVID-19 side effects [ 63 ].…”