Artificial intelligence (AI) models are increasingly finding applications in the field of
medicine. Concerns have been raised about the explainability of the decisions that are …

Federated learning (FL) refers to a system in which a central aggregator coordinates the
efforts of several clients to solve the issues of machine learning. This setting allows the …

This paper proposes a new deep learning (DL) framework for the analysis of lung diseases,
including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This …

This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus
disease (COVID-19). The novelty of this work is in the introduction of optimized …

The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …

Covid-19 has swept the world since 2020, taking millions of lives. In order to seek a rapid
diagnosis of Covid-19, deep learning-based Covid-19 classification methods have been …

Many applications are developed with the quick emergence of the Internet of things (IoT)
and wireless sensor networks (WSNs) in the health sector. Healthcare applications that use …

Discussing the use of artificial intelligence (AI) in healthcare, explainability is a highly
contentious topic. AI-powered systems may be superior at certain analytical tasks, but their …

Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung
diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more …