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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM39992
Volume:
8 |
12 |
Dec 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This Paper introduces a Detecting Coronavirus (COVID-19) through chest X-ray images has proven to be an effective and affordable diagnostic method. By utilizing artificial intelligence (AI) and deep learning, this approach identifies lung abnormalities that signal the presence of the virus. Neural networks trained on labeled X-ray datasets can distinguish COVID-19 from other lung conditions, such as pneumonia, with high accuracy. This technique enables rapid screening, facilitating early diagnosis and timely treatment, particularly in areas with limited resources. Integrating X-ray imaging with AI reduces reliance on costly and time-consuming tests like RT-PCR, helping healthcare systems manage and control the pandemic more efficiently.
KEYWORDS
Publication Date
12/21/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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