COVID 19 Diagnosis

COVID-19 diagnosis research focuses on developing rapid, accurate, and accessible methods to identify infections, supplementing or replacing the gold standard RT-PCR test. Current efforts utilize various data sources, including chest X-rays and CT scans, blood test parameters, and even respiratory audio recordings, analyzed with deep learning models like CNNs, Vision Transformers, and ensemble methods. These AI-driven approaches aim to improve diagnostic speed and efficiency, particularly in resource-constrained settings, and enhance the interpretability of diagnostic results for clinicians. The ultimate goal is to improve patient outcomes and public health management through more effective and readily available diagnostic tools.