AIMC Topic: Renal Insufficiency, Chronic
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Early Coaching to Increase Water Intake in CKD.
Annals of nutrition & metabolism
Mar 29, 2021
INTRODUCTION: In observational studies, increased water intake improves kidney function but not in adults with CKD stage 3 and more. CKD WIT trial has shown a nonsignificant gradual decline in kidney function after 1 year of coaching to increase wate...
Automated renal segmentation in healthy and chronic kidney disease subjects using a convolutional neural network.
Magnetic resonance in medicine
Mar 23, 2021
PURPOSE: Total kidney volume (TKV) is an important measure in renal disease detection and monitoring. We developed a fully automated method to segment the kidneys from T -weighted MRI to calculate TKV of healthy control (HC) and chronic kidney diseas...
Recent advances in medical image processing for the evaluation of chronic kidney disease.
Medical image analysis
Jan 9, 2021
Assessment of renal function and structure accurately remains essential in the diagnosis and prognosis of Chronic Kidney Disease (CKD). Advanced imaging, including Magnetic Resonance Imaging (MRI), Ultrasound Elastography (UE), Computed Tomography (C...
Robotic technology quantifies novel perceptual-motor impairments in patients with chronic kidney disease.
Journal of nephrology
Jan 5, 2021
BACKGROUND: Neurocognitive impairment is commonly reported in patients with chronic kidney disease (CKD). The precise nature of this impairment is unclear, due to the lack of objective and quantitative assessment tools used. The feasibility of using ...
Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.
American journal of physiology. Renal physiology
Dec 14, 2020
Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidney diseases, starting early in the course of disease and resulting in devastating clinical consequences ranging from bone fragility to accelerated ath...
XGBoost Model for Chronic Kidney Disease Diagnosis.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2020
Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world population and 15 percent of the South African population. The early and cheap diagnosis of this disease with accuracy and reliability will save 20,000 lives in South ...
Machine learning algorithm for early detection of end-stage renal disease.
BMC nephrology
Nov 27, 2020
BACKGROUND: End stage renal disease (ESRD) describes the most severe stage of chronic kidney disease (CKD), when patients need dialysis or renal transplant. There is often a delay in recognizing, diagnosing, and treating the various etiologies of CKD...
Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes.
Diabetes
Oct 6, 2020
Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk for progressing to chronic kidney disease (CKD) is essential to prevent complications of diabetes. Here, we identify and evaluate prospective metabolit...
Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database.
PloS one
Sep 17, 2020
Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes. In particular, chronic kidney disease (CKD) is problematic because it often progresses to end-stage kidney disease. However, the trajectories of kidn...
Development and Cross-Validation of a Nomogram for Chronic Kidney Disease Following Robot-Assisted Radical Cystectomy.
Journal of endourology
Aug 14, 2020
We sought to identify the factors associated with deterioration of renal functions after robot-assisted radical cystectomy, and to develop a nomogram to detect the probability of progression to chronic kidney disease (CKD). A retrospective review o...
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