Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …

Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD).
Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers …

Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …

Heart disease is recognized as one of the leading factors of death rate worldwide.
Biomedical instruments and various systems in hospitals have massive quantities of clinical …

With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …

Chronic kidney disease (CKD) has become a widespread disease among people. It is
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …

In recent times, microarray gene expression datasets have gained significant popularity due
to their usefulness to identify different types of cancer directly through bio-markers. These …

Clinical support systems are affected by the issue of high variance in terms of chronic
disorder prognosis. This uncertainty is one of the principal causes for the demise of large …

Within the literature concerning modern machine learning techniques applied to the medical
field, there is a growing interest in the application of these technologies to the nephrological …