This paper investigates the applications of explainable AI (XAI) in healthcare, which aims to
provide transparency, fairness, accuracy, generality, and comprehensibility to the results …

The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

The outbreak of the Coronavirus disease 2019 (COVID-19) caused the death of a large
number of people and declared as a pandemic by the World Health Organization. Millions of …

Monkeypox virus has become a popular disease as many people have been recently
infected with this virus around the world. This virus causes fears of another global pandemic …

This study introduces a novel pruning approach based on explainable graph convolutional
networks, strategically amalgamating pruning and quantisation, aimed to tackle the …

In recent years, with the rapid advancements in deep learning, image processing has
progressively attracted the attention of medical researchers to achieve accurate diagnoses …

Early detection of diseases is vital for patient recovery. This article explains the design and
technical matters of a computer-supported diagnostic system for eye melanoma detection …

Medical services and computerized reasoning (computer-based intelligence) have seen
critical enhancements of late, introducing another period of symptomatic exactness, therapy …

Background: The COVID-19 pandemic has raised global concern, with moderate to severe
cases displaying lung inflammation and respiratory failure. Chest x-ray (CXR) imaging is …

The coronavirus has disseminated universally, infecting enormous people and causing
countless deaths. As many scientists tried their best to make vaccines against this virus …