Research Article
A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis
@ARTICLE{10.4108/eetpht.10.5174, author={Balasubramaniam S and Arishma M and Satheesh Kumar K and Rajesh Kumar Dhanaraj}, title={A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={10}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2024}, month={2}, keywords={Machine Learning, COVID-19, Disease Diagnosis, Artificial Intelligence}, doi={10.4108/eetpht.10.5174} }- Balasubramaniam S
Arishma M
Satheesh Kumar K
Rajesh Kumar Dhanaraj
Year: 2024
A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis
PHAT
EAI
DOI: 10.4108/eetpht.10.5174
Abstract
INTRODUCTION: The 2019 COVID-19 pandemic outbreak triggered a previously unseen global health crisis demanding accurate diagnostic solutions. Artificial Intelligence has emerged as a promising technology for COVID-19 diagnosis, offering rapid and reliable analysis of medical data. OBJECTIVES: This research paper presents a comprehensive review of various artificial intelligence methods applied for the diagnosis, aiming to assess their effectiveness in identifying cases, predicting disease progression and differentiating from other respiratory diseases. METHODS: The study covers a wide range of artificial intelligence methods and with application in analysing diverse data sources like chest x-rays, CT scans, clinical records and genomic sequences. The paper also explores the challenges and limitations in implementing AI -based diagnostic tools, including data availability and ethical considerations. CONCLUSION: Leveraging AI’s potential in healthcare can significantly enhance diagnostic efficiency crisis management as the pandemic evolves.
Copyright © 2024 Balasubramaniam S et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
