Chest x‐ray images: transfer learning model in COVID‐19 detection

This study confirms the importance of applying machine learning methods in medical applications and opens new perspectives for early diagnosis of infectious diseases. The practical application of the obtained results can enhance the efficiency of diagnosis and control the spread of COVID-19, as well as contribute to the development of innovative methods in medical practice.

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Publication Details

Journal
Journal of Evaluation in Clinical Practice
Published
2024-10-27
DOI
https://doi.org/10.1111/jep.14215
Citations
2
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.81
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article

Chest x‐ray images: transfer learning model in COVID‐19 detection

Mikhail A Osadchuk, Saltanat Kulbayeva, S. Mao
2 citations
Journal of Evaluation in Clinical Practice
COVID-19 diagnosis using AI
0.81
article

Chest x‐ray images: transfer learning model in COVID‐19 detection

Mikhail A Osadchuk, Saltanat Kulbayeva, S. Mao
article en
2 citations

Abstract

This study confirms the importance of applying machine learning methods in medical applications and opens new perspectives for early diagnosis of infectious diseases. The practical application of the obtained results can enhance the efficiency of diagnosis and control the spread of COVID-19, as well as contribute to the development of innovative methods in medical practice.

Journal of Evaluation in Clinical PracticeVol. 31(1)
Florida State University (US), Sechenov University (RU), South Kazakhstan Medical Academy (KZ)
Sustainable cities and communities
Openalex Percentile: Top 25%
COVID-19 diagnosis using AI
0.81
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