Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVES: Acute kidney injury (AKI) in hospitalized patients puts them at much higher risk for developing future health problems such as chronic kidney disease, stroke, and heart disease. Accurate AKI prediction would allow timely prevention and intervention. However, current AKI prediction researches pay less attention to model building strategies that meet complex clinical application scenario...
BACKGROUND: The present study aimed at evaluation of changes in estimated glomerular filtration rate (eGFR) among chronic Hepatitis C virus (HCV) patients with chronic kidney disease (CKD) Stages 3-5 who were treated with 12 weeks of ritonavir-boosted paritaprevir, ombitasvir plus ribavirin.
OBJECTIVE: In this study, machine learning was utilized to classify and predict pulse wave of hypertensive group and healthy group and assess the risk...
AIMS: Diabetic nephropathy (DN) is a serious microvascular complication of a longstanding hyperglycemia. This study aims to evaluate whether urinary n...
Interventional cardiology procedures require full anticoagulation to prevent thrombus formation on catheters and devices with potential development of...
BACKGROUND: The aim of A MAastricht Contrast-Induced Nephropathy Guideline (AMACING) trial was to evaluate non-inferiority of no prophylaxis compared ...
BACKGROUND: Fluid volume and blood pressure (BP) management are crucial endpoints for end-stage kidney disease patients. BP control in clinical practi...
AIMS: Serum uric acid (UA) increases in patients with kidney disease due to the impaired UA clearance. The present study sought to evaluate the associ...
Preeclampsia (PE), new onset hypertension during pregnancy, is associated with a proinflammatory profile compared to normal pregnancy (NP). We hypothe...
OBJECTIVE: The study objective was to retrospectively evaluate the efficacy and safety of radiofrequency endometrial ablation in treating heavy menstr...
INTRODUCTION: Anatomic characteristics of kidneys derived from ultrasound images are potential biomarkers of children with congenital abnormalities of...
Warfarin, for many years, was the only oral anticoagulant availablt on the market for the prevention of stroke in patients with atrial fibrillation. D...
INTRODUCTION: Our study compares 2 immunosuppressive strategies to reduce tacrolimus nephrotoxicity and its risk of acute tubular necrosis: delayed in...
Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-term abnormal blood pressure will lead to various car...
PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with diabetes and with or without chronic kidney disease (...
BACKGROUND: Modern clinical environments are laden with technology devices continuously gathering physiological data from patients. This is especially...
INTRODUCTION: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models bas...
INTRODUCTION: the association between the kidneys and hepatitis B is complex. This study aims to determine the prevalence and factors associated with ...
The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. Though robot-assisted procedures among extremely ob...
BACKGROUND: Obesity is a risk factor for incident chronic kidney disease (CKD) in the general population. C1q/tumour necrosis factor-related protein 1...