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 190-210 of 3,387 articles
A visual deep learning model to predict abnormal versus normal parathyroid glands using intraoperative autofluorescence signals.

BACKGROUND: Previous work demonstrated that abnormal versus normal parathyroid glands (PGs) exhibit ...

The role of artificial intelligence in pancreatic surgery: a systematic review.

Artificial intelligence (AI), including machine learning (ML), is being slowly incorporated in medic...

Deep learning-based detection of parathyroid adenoma by Tc-MIBI scintigraphy in patients with primary hyperparathyroidism.

OBJECTIVE: It is important to detect parathyroid adenomas by parathyroid scintigraphy with 99m-techn...

Ranking patients on the kidney transplant waiting list based on fuzzy inference system.

BACKGROUND: Kidney transplantation is the best treatment for people with End-Stage Renal Disease (ES...

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures.

In designing drug dosing for hemodialysis patients, the removal rate (RR) of the drug by hemodialysi...

Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...

Comparative Analysis for Prediction of Kidney Disease Using Intelligent Machine Learning Methods.

Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing pr...

Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...

Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models.

This study aimed to develop a model for predicting the completion of clinical trials involving pregn...

A deep learning method for counting white blood cells in bone marrow images.

BACKGROUND: Differentiating and counting various types of white blood cells (WBC) in bone marrow sme...

PEGylated ethyl cellulose micelles as a nanocarrier for drug delivery.

Natural polymers provide a better alternative to synthetic polymers in the domain of drug delivery s...

Robotic Puboprostatic Fistula Repair with Holmium Laser Pubic Debridement.

INTRODUCTION AND OBJECTIVE: Urosymphyseal fistula (UF) with osteomyelitis most commonly occurs as a ...

Deep Learning-Based Magnetic Resonance Imaging Features in Diagnosis of Perianal Abscess and Fistula Formation.

There was an investigation of the diagnostic and prognostic effect of magnetic resonance imaging (MR...

Super high-flux membrane dialyzers improve mortality in patients on hemodialysis: a 3-year nationwide cohort study.

INTRODUCTION: In Japan, dialyzers are classified based on β-microglobulin clearance. Type I dialyzer...

Role of Serum and Urinary Hepcidin in Young Females of Reproductive Age in North India.

 Iron deficiency is one of the most common nutritional disorders in the world affecting young femal...

Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans.

BACKGROUND: To assess the potential of radiomic features to quantify components of blood in intraaor...

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