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Open AccessJournal ArticleDOI

Artificial Intelligence (AI) applications for COVID-19 pandemic.

TLDR
The role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics is reviewed and seven significant applications of AI for CO VID-19 pandemic are identified.
Abstract
Background and aims Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods The rapid review of the literature is done on the database of Pubmed, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to tracks data of confirmed, recovered and death cases.

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Citations
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Journal ArticleDOI

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

TL;DR: The ongoing development in AI and ML has significantly improved treatment, medication, screening, prediction, forecasting, contact tracing, and drug/vaccine development process for the Covid-19 pandemic and reduce the human intervention in medical practice.
Journal ArticleDOI

Internet of things (IoT) applications to fight against COVID-19 pandemic.

TL;DR: Internet of Things (IoT) enabled healthcare system is useful for proper monitoring of COVID-19 patients, by employing an interconnected network and helps to increase patient satisfaction and reduces readmission rate in the hospital.
Journal ArticleDOI

Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.

TL;DR: It is reported that digital solutions and innovative technologies have mainly been proposed for the diagnosis of COVID-19 and digital solutions that integrate with the traditional methods, such as AI-based diagnostic algorithms based both on imaging and/or clinical data, seem promising.
Journal ArticleDOI

Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network

TL;DR: The proposed architecture can provide an automated medical diagnostics system to support healthcare specialists for enhanced decision making during this pandemic scenario.
References
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Journal ArticleDOI

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

TL;DR: Chest CT has a high sensitivity for diagnosis of CO VID-19 and may be considered as a primary tool for the current COVID-19 detection in epidemic areas, as well as for patients with multiple RT-PCR assays.
Journal ArticleDOI

World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19).

TL;DR: Despite rigorous global containment and quarantine efforts, the incidence of COVID-19 continues to rise, with 90,870 laboratory-confirmed cases and over 3,000 deaths worldwide.
Journal ArticleDOI

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

TL;DR: A deep learning model was developed to extract visual features from volumetric chest CT scans for the detection of coronavirus 2019 and differentiate it from community-acquired pneumonia and other lung conditions.
Journal ArticleDOI

Digital technology and COVID-19.

TL;DR: The past decade has allowed the development of a multitude of digital tools, now they can be used to remediate the COVID-19 outbreak.
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