Computer Science

Artificial intelligence enabled COVID-19 detection: techniques, challenges and use cases

M. Panjeta, A. Reddy, et al.

Explore the fascinating world of AI-based methods for COVID-19 detection, as reviewed by Manisha Panjeta, Aryan Reddy, Rushabh Shah, and Jash Shah. This paper highlights various machine learning and deep learning techniques, their efficiency, and future research directions to overcome current challenges in diagnostic tools.

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Playback language: English

Index

Abstract

This paper provides a comprehensive review of artificial intelligence (AI)-based methods for COVID-19 detection, focusing on machine learning (ML) and deep learning (DL) techniques. It systematically examines various detection methods, comparing their analytical efficiency, sensitivity, affordability, ease of use, and other characteristics. The review also highlights the limitations of current techniques and proposes future research directions to address the challenges in developing robust and reliable AI-based COVID-19 diagnostic tools.

Publisher

Multimedia Tools and Applications

Published On

Mar 30, 2023

Authors

Manisha Panjeta, Aryan Reddy, Rushabh Shah, Jash Shah

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