Review of: "Application of Ensemble Learning in CXR Classification for Improving COVID-19 Diagnosis"

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Potential competing interests: No potential competing interests to declare.The paper focuses on the diagnosis of COVID-19 from X-ray images.However, this topic has been extensively covered with more advanced techniques since the pandemic ended.For example, Bekhet, Saddam, et al. "An Efficient Method for Covid-19 Detection Using Light Weight Convolutional Neural Network."Computers, Materials & Continua 69.2 (2021).)As a result, the current work does not offer a significant contribution, as it appears to be a straightforward application of existing machine learning algorithms.The authors are encouraged to conduct a more thorough review of the literature and present a novel approach for future pandemics, aiming to better prepare humanity for such threats.

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