Efficient AI-Enabled Pneumonia Detection in Chest X-ray Images

ABSTRACT

Recent years have witnessed the rapid development of artificial intelligence (AI) in different fields, including biomedical, in which timely detection of anomalies can play a vital role in patients' health monitoring. COVID-19, a contagious disease caused by the Severe Acute Respiratory Syndrome Corona-Virus 2 (SARS-CoV-2), has become a global epidemic. The key to combating this and other epidemics is detecting and isolating the infected patients in time. Therefore, there is an urgent need for a timely, practical detection approach. This paper proposes an AI-enabled pneumonia detection system, AIRBiS, to detect pneumonia (i.e., COVID-19) efficiently. AIRBiS is based on a high-performance Artificial Neural Network and an interactive user interface for effective operation and monitoring. The evaluation results demonstrate that the proposed system achieved 94.4% detection accuracy of pneumonia (i.e., COVID-19) over the collected test data. © 2022 IEEE.