Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Longitudinal Follow-Up and Outcomes for Chinese Patients with Stage 1-4 Chronic Kidney Disease.

INTRODUCTION: Understanding heterogeneity in the prognosis of chronic kidney disease (CKD) has impli...

Identifying Preoperative Predictors of Operative Time and Their Impact on Outcomes in Robot-Assisted Partial Nephrectomy.

To identify preoperative characteristics in patients with renal masses that influence operative tim...

Development of calciphylaxis in kidney transplant recipients with a functioning graft.

BACKGROUND: Calciphylaxis is not uniquely observed in uraemic patients, as some cases have also been...

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Background Imaging assessment for hepatomegaly is not well defined and currently uses suboptimal, un...

A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.

BACKGROUND: Development of acute kidney injury (AKI) is associated with poor prognosis in patients w...

Circulating Levels of Endothelin-1 and Big Endothelin-1 in Patients with Essential Hypertension.

The role of endothelin-1 (ET-1) in the pathogenesis of hypertension (HTN) is not clearly established...

AI Integration in the Clinical Workflow.

Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing...

Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.

PURPOSE: Clinical applicability of renal arterial spin labeling (ASL) MRI is hampered because of tim...

Simultaneous determination of four phenolic acids in traditional Chinese medicine by capillary electrophoresis-chemiluminescence.

Chlorogenic, ferulic, vanillic, and caffeic acids are phenolic acids found in natural drugs. They po...

Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation.

PURPOSE: Robot-assisted kidney transplant (RAKT) recently proved to provide functional results simil...

Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning.

One of the main challenges of structure-based virtual screening (SBVS) is the incorporation of the r...

Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in Children.

In this study, we aimed to develop a new automated method for kidney volume measurement in children ...

Multimodal kidney-preserving approach in localised and locally advanced high-risk upper tract urothelial carcinoma.

OBJECTIVES: Multimodal kidney-preserving (MKP) strategies may be an option for patients with localis...

Development of a proteochemometric-based support vector machine model for predicting bioactive molecules of tubulin receptors.

Microtubules are receiving enormous interest in drug discovery due to the important roles they play ...

Retrospective Analysis of the Efficacy of Da Vinci Robot-Assisted Pyeloplasty in the Treatment of Ureteropelvic Junction Obstruction in Children.

Ureteropelvic junction obstruction (UPJO) is one of the common causes of hydronephrosis in children,...

Twisting and Braiding Fluid-Driven Soft Artificial Muscle Fibers for Robotic Applications.

Research on soft artificial muscles (SAMs) is rapidly growing, both in developing new actuation idea...

Diagnostic test accuracy of artificial intelligence analysis of cross-sectional imaging in pulmonary hypertension: a systematic literature review.

OBJECTIVES: To undertake the first systematic review examining the performance of artificial intelli...

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...

New sensing platform of poly(ester-urethane)urea doped with gold nanoparticles for rapid detection of mercury ions in fish tissue.

A new electrochemical sensor has been fabricated based on the synthesis of poly(ester-urethane) ure...

Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods.

Identification of medical conditions using claims data is generally conducted with algorithms based ...

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