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

Raju Vaishya¹, Mohd Javaid², Ibrahim Haleem Khan³

¹Department of Orthopaedics, Indraprastha Apollo Hospital, SaritaVihar, Mathura Road, 110076, New Delhi, India.

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Summary

Artificial Intelligence (AI) is crucial for analyzing and predicting COVID-19 spread. This technology aids in real-time decision-making for healthcare, vaccine development, and tracking patient data to combat pandemics.

Keywords:

AI Applications Artificial Intelligence (AI)COVID-19 Coronavirus Pandemic

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Area of Science:

Healthcare Technology
Infectious Disease Research
Artificial Intelligence Applications

Background:

Modern healthcare delivery necessitates advanced technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data, and Machine Learning.
These technologies are vital for combating emerging diseases and preparing for future health crises.

Purpose of the Study:

To review the pivotal role of Artificial Intelligence (AI) in analyzing, preventing, and combating COVID-19 (Coronavirus) and other pandemics.
To identify and analyze the specific applications of AI in managing the COVID-19 pandemic.

Main Methods:

A rapid literature review was conducted using PubMed, Scopus, and Google Scholar.
Keywords included 'COVID-19' or 'Coronavirus' combined with 'Artificial Intelligence' or 'AI'.
Latest information on AI for COVID-19 was collected and analyzed for potential applications.

Main Results:

Seven significant applications of AI in the COVID-19 pandemic were identified.
AI is instrumental in detecting disease clusters and predicting future outbreak locations through data analysis.
AI applications facilitate the tracking of confirmed, recovered, and deceased cases.

Conclusions:

Healthcare organizations urgently require AI-driven decision-making tools for real-time pandemic management.
AI can significantly contribute to understanding and accelerating vaccine development for COVID-19.
AI technology offers robust screening, analysis, prediction, and tracking capabilities for current and future patients.