This study explores the contemporary landscape of integrating numerical algorithms,
artificial intelligence (AI), and expert methodologies within the domain of nephrology …

Despite technological advances in diagnostic imaging, to distinguish the type of renal tumor
without performing a biopsy is still an unsolved challenge. In particular, this is even more …

Background and objectives Chronic kidney disease (CKD) is a global health concern. This
study aims to identify key factors associated with renal function changes using the proposed …

Background Renin-angiotensin-aldosterone system inhibitors (RAASi) are commonly used
medications. Renal adverse events associated with RAASi are hyperkalemia and acute …

Background In this section, with the objective of making reinforcement learning literature
more accessible to a clinical audience, we briefly introduce related fundamental concepts …

Different machine learning approaches for analyzing renal hemodynamics using time series
of arterial blood pressure and renal blood flow rate measurements in conscious rats are …

The recent and more advanced applications of artificial intelligence (AI) reached a wide
range of fields, transforming traditional workflows, perfecting current techniques, and …

Artificial intelligence has been the method of choice for predicting Chronic Kidney Disease
(CKD) using health data, and it has lately demonstrated a potential use in this field. This …

Kidney stone disease has become one of the risks for humans all over the world and most of
people at the initial stage do not notice stone formation in kidney as disease and it slowly …

Background In the field of nephrology, the integration of artificial intelligence (AI), numerical
algorithms, machine learning (ML) and expert approaches presents a promising frontier for …