Can
            <scp>AI</scp>
            help in the fight against
            <scp>COVID</scp>
            ‐19?

Scott, Ian; Coiera, Enrico

doi:10.5694/mja2.50821

Cited by 15 publications

(7 citation statements)

References 45 publications

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“…Another AI company, Metabiota, traced flight data to correctly anticipate that many Asian countries would be at risk of COVID-19 days before the initial cases appeared. The AI-based HealthMap system at Boston Children's Hospitals was also the first to notify the world about coronavirus on December 30, 2019, days before even the World Health Organization released a statement regarding the situation [8].…”

Section: Advantages Of Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks

et al. 2021

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Section: Advantages Of Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks

et al. 2021

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“…With the availability of large-scale and complex data about COVID-19 came the need to analyse and model it. Advanced computational methods including machine learning, natural language processing and other artificial intelligence (AI) methods can play key roles [46], and indeed significantly contributed to detecting the COVID-19 outbreak, diagnosing the disease, and predicting outcomes [47]. Models are critical to inform decision making [48], supporting prediction and simulation of outcomes under varying conditions or patient characteristics.…”

Section: Data Analytics and Modellingmentioning

confidence: 99%

The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System

Verspoor

2021

Yearb Med Inform

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Summary Objectives: We examine the knowledge ecosystem of COVID-19, focusing on clinical knowledge and the role of health informatics as enabling technology. We argue for commitment to the model of a global learning health system to facilitate rapid knowledge translation supporting health care decision making in the face of emerging diseases. Methods and Results: We frame the evolution of knowledge in the COVID-19 crisis in terms of learning theory, and present a view of what has occurred during the pandemic to rapidly derive and share knowledge as an (underdeveloped) instance of a global learning health system. We identify the key role of information technologies for electronic data capture and data sharing, computational modelling, evidence synthesis, and knowledge dissemination. We further highlight gaps in the system and barriers to full realisation of an efficient and effective global learning health system. Conclusions: The need for a global knowledge ecosystem supporting rapid learning from clinical practice has become more apparent than ever during the COVID-19 pandemic. Continued effort to realise the vision of a global learning health system, including establishing effective approaches to data governance and ethics to support the system, is imperative to enable continuous improvement in our clinical care.

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“…Using Artificial Intelligence to dissect and better comprehend the Coronavirus is for the most part being finished by the medical care industry, however not just. Man-made reasoning strategies are appropriate for following, controlling and forecasting the spread of COVID-19 around the globe [34]. Country Security and Intelligence offices are partaking in the battle to moderate COVID-19 and are using large information, examination and AI to do as such.…”

Section: G Market Valuementioning

confidence: 99%

Role of Artificial Intelligence in Distinct Sector: A Study

Jindal

Kumar

Ishika

et al. 2021

AJCST

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The artificial intelligence (AI) plays a significant role in distinct fields to solve the complex problems. The digital technical field is increasing day by day in the world and it makes an internal part of our life. Hence, the knowledge of emerging technology is must for making our life easy. However, there are some major areas which are creating the problems to human such as agriculture field that comprises crop diseases, lack of storage management, pesticide control etc. These problems can be solved by artificial intelligence, IOT, machine learning and deep learning. Hence, the aim of this paper is to discuss the role of artificial intelligence to solve different issues of distinct sectors (medical, engineering, agriculture, business, defenses etc.) especially in medicine (COVID-19). Finally, future scope, challenges and application domain of artificial intelligence is also described.

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Can AI help in the fight against COVID ‐19?

Cited by 15 publications

References 45 publications

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks

Artificial Intelligence and a Pandemic: an Analysis of the Potential Uses and Drawbacks

The Evolution of Clinical Knowledge During COVID-19: Towards a Global Learning Health System

Role of Artificial Intelligence in Distinct Sector: A Study

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