Nephrology

End Stage Renal Disease

Latest AI and machine learning research in end stage renal disease for healthcare professionals.

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Nephrology Subcategories: Anemia End Stage Renal Disease
Showing 274-294 of 3,387 articles
Estimating Residual Native Kidney Urea Clearance in Hemodialysis Patients with and without 24-Hour Urine Volume.

RATIONALE AND OBJECTIVE: Quantification of residual native kidney function (RKF) is rarely performed...

Reversing the Effects of a Peripheral Nerve Block with Normal Saline: A Randomised Controlled Trial.

OBJECTIVE: The objective of the present study was to determine whether or not the effects of periphe...

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients.

This paper shows the application of machine learning techniques to predict hematic parameters using...

A novel automated image analysis system using deep convolutional neural networks can assist to differentiate MDS and AA.

Detection of dysmorphic cells in peripheral blood (PB) smears is essential in diagnostic screening o...

Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.

OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during con...

Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.

Artificial intelligence is playing an increasingly important role in many fields of medicine, assist...

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a...

Laparoscopic transvesical vesicovaginal fistula repair with the least invasive way: Only three trocars and a limited posterior cystotomy.

OBJECTIVE: Two conventional approaches for vesicovaginal fistula (VVF) repair are transabdominal rep...

An integrated model using the Taguchi method and artificial neural network to improve artificial kidney solidification parameters.

BACKGROUND: Hemodialysis mainly relies on the "artificial kidney," which plays a very important role...

Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models.

BACKGROUND: In spite of the abundance of genomic data, predictive models that describe phenotypes as...

Changes in clinical indicators related to the transition from dialysis to kidney transplantation-data from the ERA-EDTA Registry.

BACKGROUND: Kidney transplantation should improve abnormalities that are common during dialysis trea...

[Renal graft survival in patients transplanted from organs of deceased donors].

BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency ...

A new technique for measuring fistula flow using venous blood gas oxygen saturation in patients with a central venous catheter.

BACKGROUND: Doppler ultrasound (DU) monitoring early after arteriovenous fistula (AVF) creation allo...

Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.

Detecting cerebral microbleeds (CMBs) is important in diagnosing a variety of diseases including dem...

A machine-learning-based prediction model of fistula formation after interstitial brachytherapy for locally advanced gynecological malignancies.

PURPOSE: External beam radiotherapy combined with interstitial brachytherapy is commonly used to tre...

A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis.

BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascula...

Potential of Parameters of Iron Metabolism for the Diagnosis of Anemia of Inflammation in the Critically Ill.

BACKGROUND: Anemia of inflammation (AI) is the most common cause of anemia in the critically ill, bu...

Specific impact of past and new major cardiovascular events on acute kidney injury and end-stage renal disease risks in diabetes: a dynamic view.

BACKGROUND: Interconnections between major cardiovascular events (MCVEs) and renal events are recogn...

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