NextGen lung disease diagnosis with explainable artificial intelligence.
Ontology highlight
ABSTRACT: The COVID-19 pandemic has been the most catastrophic global health emergency of the [Formula: see text] century, resulting in hundreds of millions of reported cases and five million deaths. Chest X-ray (CXR) images are highly valuable for early detection of lung diseases in monitoring and investigating pulmonary disorders such as COVID-19, pneumonia, and tuberculosis. These CXR images offer crucial features about the lung's health condition and can assist in making accurate diagnoses. Manual interpretation of CXR images is challenging even for expert radiologists due to the overlapping radiological features. Therefore, Artificial Intelligence (AI) based image processing took over the charge in healthcare. But still it is uncertain to trust the prediction results by an AI model. However, th
SUBMITTER: Veeramani N
PROVIDER: S-EPMC12475433 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature
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