This paper reviews applications of machine learning (ML) predictive models in the diagnosis
of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global …

The exponential growth of artificial intelligence (AI) has allowed for its integration into
multiple sectors, including, notably, healthcare. Chatbots have emerged as a pivotal …

Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …

Medical textiles is an emerging specialist field within the textile industry showing substantial
growth in the amount of research attention it has attracted over the past ten years and it is …

Background. The purpose of this review is to depict current research and impact of artificial
intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation …

Background Intelligent decision support systems (IDSS) have been applied to tasks of
disease management. Deep neural networks (DNNs) are artificial intelligent techniques to …

With continuing damage, both the indigenous cells of the cortex and medulla, and
inflammatory cells are involved in the formation and development of renal fibrosis …

The emergence of artificial intelligence and machine learning (ML) has revolutionized the
landscape of clinical medicine, offering opportunities to improve medical practice and …

Technology is not just limited to technology companies, it impacts sectors such as
healthcare, agriculture, and security. In the last few decades, countries, too, have started …

Background: Renal transplantation is the treatment of choice for chronic kidney disease
(CKD) patients, but the shortage of kidneys and the disabling medical conditions these …