Abstract
COVID-19 outbreak has created havoc around the world and has brought life to a disturbing halt claiming thousands of lives worldwide and infected cases rising every day. With technological advancements in Artificial Intelligence (AI), AI-based platforms can be used to deal with COVID-19 pandemic and accelerate the processes ranging from crowd surveillance to medical diagnosis. This paper renders a response to battle the virus through various AI techniques by making use of its subsets such as Machine Learning (ML), Deep learning (DL) and Natural Language Processing (NLP). A survey of promising AI methods which could be used in various applications to facilitate the processes in this pandemic along potential of AI and challenges imposed are discussed thoroughly. This paper relies on the findings of the most recent research publications and journals on COVID-19 and suggests numerous relevant strategies. A case study on the impact of COVID-19 in various economic sectors is also discussed. The potential research challenges and future directions are also presented in the paper.
Highlights
The world is facing an exceptional threat from the novel coronavirus, termed as coronavirus disease 2019 (COVID-19) by the world health organization (WHO), a pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus
We carefully explore the use of Artificial Intelligence in mitigating the impact of COVID-19
The system can classify proteinligand interactions with accuracies up to 92%. In another effort by the authors of (Beck et al.,2020), a deep learning-based drug-target interaction model, Molecule Transformer-Drug Target Interaction (MT-drug-target interactions (DTIs)) has been developed, which is imperative to narrow down the number of potential drug candidates and identify commercially available drugs that can act on SARS-CoV-2 viral proteins
Summary
The world is facing an exceptional threat from the novel coronavirus, termed as coronavirus disease 2019 (COVID-19) by the world health organization (WHO), a pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. More than 0.7 million deaths have been reported spanning around 200 countries across the globe as per the statistics of WHO on Aug 2020 (WHO,2020) Clinical features of this virus range from the asymptomatic state (no symptoms) to multiple organ dysfunction syndromes (MODS) and acute respiratory distress syndrome (ARDS). Presenting the case studies on the impact of COVID in lifestyle, economic sectors, diabetic patients (as they are prone to various illness and organ disorders) and accelerating healthcare in AI revolution. The major challenges and future directions for COVID 19 research are highlighted
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of E-Health and Medical Communications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
