Advanced AI Techniques for COVID-19 Diagnosis: A Unified Model Using Chest X-Ray Images

Authors

  • Venkatesh Maheshwaram, Uma Rani Koppula Author

DOI:

https://doi.org/10.48047/

Keywords:

chest X-ray, Covid 19 classification, deep learning.

Abstract

The use of chest X-ray imaging for diagnosing COVID-19 has gained traction, especially in Spain, where it represents the initial imaging modality employed in clinical settings. Following a clinical suspicion of COVID-19 infection, healthcare providers often obtain nasopharyngeal exudate samples for reverse-transcription polymerase chain reaction (RT-PCR) testing. However, since RT-PCR results 
can take several hours, chest X-ray findings play a crucial role in the timely assessment of a patient's clinical condition. Normal X-ray results typically allow for patient discharge while awaiting test outcomes, whereas pathological findings prompt hospital admission for closer monitoring. 

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References

What does covid-19 do to your lungs? https://www.webmd.com/lung/what-does-covid-do-to your-lungs#1.

Panagis Galiatsatos. What coronavirus does to the lungs. https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus/what

coronavirus-does-to-the-lungs (Accessed on 27th September 2021).

The incubation period of coronavirus disease 2019 (covid-19) from publicly reported confirmed cases: Estimation and application. Ann. Internal Med., vol. 172, no. 9, pp. 577–582, 2020.

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Published

2021-01-05

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Section

Articles

How to Cite

Venkatesh Maheshwaram, Uma Rani Koppula. (2021). Advanced AI Techniques for COVID-19 Diagnosis: A Unified Model Using Chest X-Ray Images. History of Medicine, 7(1), 45-56. https://doi.org/10.48047/