Transformative Insights into Pneumonia Detection with a Novel Artificial Intelligence and Deep Learning Approach

Pneumonia is a prominent cause of illness and death worldwide. The early and precise diagnosis of the disease remains essential for effective treatment of the patient. Traditional methods of diagnosis, while effective, often involve significant time and expertise, that can pose numerous challenges and difficulties during situations with limited resources and in peak demand times. Many recent advances in deep learning and artificial intelligence have shown positive findings in the processing of medical pictures. Chest radiographs have been extensively studied for different purposes, especially in the diagnosis of diseases like Pneumonia, Tuberculosis, Asthma, Bronchitis, Pneumothorax, and many more. This paper focuses on using many Deep Learning architectures and Artificial intelligence concepts, such as explainable AI, to use patients’ chest X-rays to detect pneumonia in patients in its early phase.