Latest AI and machine learning research in nephrology for healthcare professionals.
Current research in nephrology is increasingly focused on elucidating the complexity inherent in tig...
Clinical informatics, which combines health information technology and clinical expertise, aims to i...
BACKGROUND: Diabetic nephropathy (DN) is a major contributor to chronic kidney disease. This study a...
OBJECTIVES: To develop an automatic segmentation model for solid renal tumors on contrast-enhanced C...
The major vascular cause of dementia is cerebral small vessel disease (SVD). Its diagnosis relies on...
Lung size measurements play an important role in transplantation, as optimal donor-recipient size ma...
BACKGROUND: The risk of cardiovascular complications is significantly elevated in patients with diab...
The kidney is an abdominal organ in the human body that supports filtering excess water and waste fr...
Artificial neural networks (ANNs) are versatile tools capable of learning without prior knowledge. T...
Spinal and bulbar muscular atrophy (SBMA) progressively impairs gait function, resulting in the need...
The X-rays emitted during CT scans can increase solid cancer risks by damaging DNA, with the risk ti...
BACKGROUND: To construct and evaluate a predictive model for in-hospital mortality among critically ...
The early detection of arteriovenous (AV) access dysfunction is crucial for maintaining the patency...
Lupus nephritis (LN) is a challenging condition with limited diagnostic and treatment options. In th...
BACKGROUND: Identification of factors that affect graft survival in kidney transplantation can incre...
End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (H...
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defin...
OBJECTIVE: To evaluate the methodological quality and the predictive performance of artificial intel...
Diabetic kidney disease (DKD) is a significant complication of type 2 diabetes, posing a global heal...
AIM: This study aimed to explore the value of ultrasound (US) images in chronic kidney disease (CKD)...
We aimed to develop machine learning (ML) algorithms for the automated prediction of postoperative ...