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 211-231 of 3,387 articles
Vesicouterine Fistula: A Robotic Approach.

INTRODUCTION AND HYPOTHESIS: This video demonstrates surgical repair of a vesicouterine fistula via ...

Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.

BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to int...

Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers.

Despite fluorescent cell-labelling being widely employed in biomedical studies, some of its drawback...

Dialysis adequacy predictions using a machine learning method.

Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However,...

Deep Learning-Based CT Image Characteristics and Postoperative Anal Function Restoration for Patients with Complex Anal Fistula.

OBJECTIVE: This study aimed to optimize the CT images of anal fistula patients using a convolutional...

Assessing the Adequacy of Hemodialysis Patients via the Graph-Based Takagi-Sugeno-Kang Fuzzy System.

Maintenance hemodialysis is the main method for the treatment of end-stage renal disease in China. T...

A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients.

In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the surviva...

Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.

Combining microfluidics technology with machine learning represents an innovative approach to conduc...

Protein detection enabled using functionalised silk-binding peptides on a silk-coated optical fibre.

We present a new coating procedure to prepare optical fibre sensors suitable for use with protein an...

Human breast milk-based nutritherapy: A blueprint for pediatric healthcare.

Human Breast Milk (HBM) is a storehouse of micronutrients, macronutrients, immune factors, microbiot...

Machine learning approach in mortality rate prediction for hemodialysis patients.

Kernel support vector machine algorithm and -means clustering algorithm are used to determine the ex...

Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19.

BACKGROUND AND OBJECTIVES: AKI treated with dialysis initiation is a common complication of coronavi...

Prediction of premature all-cause mortality in patients receiving peritoneal dialysis using modified artificial neural networks.

Premature all-cause mortality is high in patients receiving peritoneal dialysis (PD). The accurate a...

A novel approach to dry weight adjustments for dialysis patients using machine learning.

BACKGROUND AND AIMS: Knowledge of the proper dry weight plays a critical role in the efficiency of d...

Robot-assisted anorectal pull-through for anorectal malformations with rectourethral and rectovesical fistula: feasibility and short-term outcome.

BACKGROUND: Multiple structures in the anorectal area are closely related to defecation, voiding and...

Artificial Intelligence Methods for Rapid Vascular Access Aneurysm Classification in Remote or In-Person Settings.

BACKGROUND: Innovations in artificial intelligence (AI) have proven to be effective contributors to ...

Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.

Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as pr...

Assessing Dry Weight of Hemodialysis Patients via Sparse Laplacian Regularized RVFL Neural Network with L-Norm.

Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water ...

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