Artificial intelligence on COVID-19 pneumonia detection using chest xray images.

ABSTRACT: Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues on the datasets and study designs from medical and technical perspectives, as well as questions on the vulnerability and robustness of AI algorithms have emerged. In this study, we address these issues with a more realistic development of AI-driven COVID-19 pneumonia detection models by generating our own data through a retrospective clinical study to augment the dataset aggregated from external sources. We optimized five deep learning architectures, implemented development strategies by manipulating data distribution to quantitatively compare study designs, and introduced several detection scenarios to evaluate the robustness

SUBMITTER: Baltazar LR 

PROVIDER: S-EPMC8516252 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature