COVID-19 Prognosis from Chest X-ray Images by using Deep Learning Approaches: A Next Generation Diagnostic Tool

Global public health is overwhelmed due to the ongoing COVID-19 pandemic. As of October 2022, SARS-CoV-2 and its variants have caused over 600 million confirmed cases and nearly 6.5 million deaths globally. This study aims to better understand COVID-19 infection from chest X-ray (CXR) images by classifying images of normal, pneumonia, and COVID-19 cases using deep learning models (VGG16 and LSTM) through feature extraction. During pandemic peaks, shortages of beds and specialist physicians impeded care; computer-aided analysis can aid early screening and triage. The proposed deep-learning strategy may help during future pandemics when healthcare resources are constrained relative to disease burden.