Abstract Explainable Artificial Intelligence (XAI) encompasses the strategies and
methodologies used in constructing AI systems that enable end-users to comprehend and …

This review provides a comprehensive examination of the integration of Artificial Intelligence
(AI) into healthcare, focusing on its transformative implications and challenges. Utilising a …

The widespread propagation of misinformation on social media platforms poses a significant
concern, prompting substantial endeavors within the research community to develop robust …

There is growing interest in exploiting the advances in artificial intelligence and machine
learning (ML) for improving and monitoring antimicrobial prescriptions in line with …

Recent advances in the field of artificial intelligence (AI) could yield new insights into the
potential causes of multiple sclerosis (MS) and factors influencing its course as the use of AI …

Intracranial aneurysm is a high-risk disease, with imaging playing a crucial role in their
diagnosis and treatment. The rapid advancement of artificial intelligence in imaging …

Background Research into the acute kidney disease (AKD) after acute ischemic stroke (AIS)
is rare, and how clinical features influence its prognosis remain unknown. We aim to employ …

Introduction Predicting the conversion of clinically isolated syndrome (CIS) to clinically
definite multiple sclerosis (CDMS) is critical to personalizing treatment planning and benefits …

With radiology shortages affecting over half of the global population, the potential of artificial
intelligence to revolutionize medical diagnosis and treatment is ever more important …

Mpox is a viral zoonotic disease that presents with skin lesions similar to other conditions
like chickenpox, measles, and hand-foot-mouth disease, making accurate diagnosis …