Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Depressive symptoms are associated with adverse clinical outcomes in patients with end-stage kidney disease; however, few small studies have examined this association in patients with earlier phases of chronic kidney disease (CKD). We studied associations between baseline depressive symptoms and clinical outcomes in older patients with advanced CKD and examined whether these associatio...
BACKGROUND: Timely diagnosis and treatment of stage 3 chronic kidney disease (CKD) can prevent further loss of kidney function and progression to kidney failure. However, contemporary data on the global prevalence of undiagnosed stage 3 CKD are scarce. REVEAL-CKD is a multinational, multifocal and observational study aiming to provide insights into undiagnosed stage 3 CKD in a large population.
PURPOSE OF REVIEW: Robot-assisted kidney transplantation (RAKT) has the potential to combine the advantages of minimally invasive surgery with the bes...
In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultr...
Due to the influence of kidney morphology, heterogeneous structure and image quality, segmenting kidney in ultrasound images is challenging. To allevi...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding pr...
The revolution in our ability to recognize the alterations in fundamental biology brought about by disease has fostered a renewed interest in precisio...
RATIONALE & OBJECTIVE: Potential surrogate end points for kidney failure have been proposed in chronic kidney disease (CKD); however, they must be eva...
Classically described in renal allografts, BK virus nephropathy is increasingly recognized in native kidneys of other non-renal solid organ transplant...
Pathologists use multiple microscopy modalities to assess renal biopsy specimens. Besides usual diagnostic features, some changes are too subtle to be...
BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learning algorithm (DLA) to detect referable diabetic re...
INTRODUCTION: Although robot-assisted nephroureterectomy (RANU) has been increasingly used worldwide, the history of RANU remains short, and the optim...
INTRODUCTION: Use of kidney replacement therapy (KRT) prediction models for guiding arteriovenous fistula (AVF) referrals in advanced chronic kidney d...
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of...
Living donation in many countries is the main resource of organs. Healthy, volunteering individuals deserve the highest safety standards possible in a...
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the ...
BACKGROUND: A randomized controlled trial demonstrated a beneficial effect of corticosteroids (CS)Â +Â cyclophosphamide followed by azathioprine in prog...
BACKGROUND AND OBJECTIVES: The prognosis of patients undergoing kidney tumor resection or kidney donation is linked to many histologic criteria. These...
Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing prevalence, high risk of progression to end-stage re...
IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by i...