Nephrology

Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.

BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predictions of survival using updates of clinical data.

Deep-Learning-Based CT Imaging in the Quantitative Evaluation of Chronic Kidney Diseases.

This study focused on the application of deep learning algorithms in the segmentation of CT images, so as to diagnose chronic kidney diseases accurately and quantitatively. First, the residual dual-attention module (RDA module) was used for automatic segmentation of renal cysts in CT images. 79 patients with renal cysts were selected as research subjects, of whom 27 cases were defined as the test ...

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 time during robot-assisted partial nephrectomy (RAPN)...

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 implications in management of patients. We aimed to eva...

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 reported in patients with normal renal function o...

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, unidimensional measures. Liver volume provides a mor...

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 with ST-segment elevation myocardial infarction (ST...

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. There is evidence that its circulating levels ar...

AI Integration in the Clinical Workflow.

Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing important clinical needs when applied to medical ...

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 time consuming and observer dependent post-processing...

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 possess the biological activities of scavenging free...

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 similar to the preferred open kidney transplant (OKT), ...

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 receptor's flexibility, as its explicit representat...

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 using ultrasonography (US) with image pre-processi...

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 localised or locally advanced high-risk upper tract uroth...

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 in cellular functions. Targeting tubulin polymeriz...

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, and the purpose of this study was to observe the ...

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 ideas and improving existing structures with multifunc...

Less invasive and equivalent short-term outcomes with simultaneous en bloc robot-assisted radical cystectomy and laparoscopic nephroureterectomy: Comparison with conventional open radical cystectomy and nephroureterectomy.

INTRODUCTION: To clarify the safety and efficacy of en bloc simultaneous robot-assisted radical cystectomy (RARC) and laparoscopic nephroureterectomy ...

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 intelligence (AI) applied to cross-sectional imaging for ...