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Artificial Intelligence for COVID-19: Rapid Review.

Jiayang Chen¹, Kay Choong See^1,2

¹Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Journal of Medical Internet Research

|September 18, 2020

Summary

This summary is machine-generated.

Artificial intelligence (AI) applications for COVID-19 show promise in diagnosis and treatment but face limitations. Further development is needed to overcome data, validation, and accessibility challenges for effective pandemic control.

Keywords:

COVID-19 SARS virus artificial intelligence computing coronavirus deep learning machine learning medical informatics review

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Area of Science:

Medical Informatics
Public Health
Artificial Intelligence

Background:

The COVID-19 pandemic, originating in December 2019, presents a significant global health crisis.
Artificial intelligence (AI) has been implemented across healthcare systems to combat the pandemic.
AI offers potential benefits but also presents notable limitations in its application to COVID-19.

Purpose of the Study:

To review and analyze the applications of artificial intelligence (AI) in addressing the COVID-19 pandemic.
To identify the key areas where AI is being utilized for COVID-19.
To evaluate the limitations and potential future directions of AI in pandemic response.

Main Methods:

An extensive literature search was conducted on PubMed and EMBASE for English-language studies.
Studies published between December 1, 2019, and March 31, 2020, were included.
A thematic analysis and narrative review approach was employed to synthesize findings.

Main Results:

Eleven papers were reviewed, detailing AI applications in diagnosis, public health, clinical decision-making, and therapeutics.
Identified limitations include insufficient data, lack of multimodal assessment, validation issues, and accessibility barriers.
Potential future applications include surveillance, big data integration, and patient management.

Conclusions:

Effective methods are crucial for controlling the ongoing COVID-19 pandemic.
Despite current limitations, AI has the potential to significantly support overwhelmed healthcare systems.
Continued research and development are necessary to harness AI's full capabilities in managing public health crises.