A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis

Balasubramaniam S; Arishma M; Satheesh Kumar K; Rajesh Kumar Dhanaraj

doi:10.4108/eetpht.10.5174

Authors

Balasubramaniam S University of Kerala
Arishma M University of Kerala
Satheesh Kumar K University of Kerala
Rajesh Kumar Dhanaraj Symbiosis International University

DOI:

https://doi.org/10.4108/eetpht.10.5174

Keywords:

Machine Learning, COVID-19, Disease Diagnosis, Artificial Intelligence

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.

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