Nephrology

Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.

Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the u...

Roughness of the renal tumor surface could predict the surgical difficulty of robot-assisted partial nephrectomy.

INTRODUCTION: Preoperative prediction of surgical difficulty of partial nephrectomy (PN) is essentia...

Evaluation of Nano-curcumin effects against Tartrazine-induced abnormalities in liver and kidney histology and other biochemical parameters.

In the current study, 40 albino male rats were investigated to evaluate the impact of Nano-curcumin ...

Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.

Endomyocardial biopsy (EMB) screening represents the standard of care for detecting allograft reject...

An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension.

The hepatic venous pressure gradient (HVPG) is the gold standard for cirrhotic portal hypertension (...

Artificial intelligence in glomerular diseases.

In this narrative review, we focus on the application of artificial intelligence in the clinical his...

Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning Approaches.

BACKGROUND: Until today, assessment of renal function has remained a challenge for modern medicine. ...

Retroperitoneal robot-assisted single-port laparoscopic treatment of the horseshoe kidney with renal cell carcinoma: Report of two cases.

Intelligent Algorithm-Based Ultrasound Image for Evaluating the Effect of Comprehensive Nursing Scheme on Patients with Diabetic Kidney Disease.

This study was aimed at exploring the effect of ultrasound image evaluation of comprehensive nursing...

Splenic artery steal syndrome in patients with orthotopic liver transplant: Where to embolize the splenic artery?

PURPOSE: This study compared proximal and distal embolization of the splenic artery (SA) in patients...

Emulation of synaptic functions with low voltage organic memtransistor for hardware oriented neuromorphic computing.

Here, various synaptic functions and neural network simulation based pattern-recognition using novel...

Robotic assistance for percutaneous needle insertion in the kidney: preclinical proof on a swine animal model.

BACKGROUND: We evaluated the accuracy, safety, and feasibility of a computed tomography (CT)-guided ...

Robotic versus hand-assisted laparoscopic living donor nephrectomy: comparison of two minimally invasive techniques in kidney transplantation.

Robot-assisted donor nephrectomy (RDN) is increasingly used due to its advantages such as its precis...

Modeling solubility of CO-N gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state.

Determining the solubility of non-hydrocarbon gases such as carbon dioxide (CO) and nitrogen (N) in ...

Prediction of significant renal function decline after open, laparoscopic, and robotic partial nephrectomy: External validation of the Martini's nomogram on the RECORD2 project cohort.

OBJECTIVES: Martini et al. developed a nomogram to predict significant (>25%) renal function loss af...

Switching to a NRTI-free 2 drug regimen (2DR) -a sub-analysis of the 48 weeks DUALIS study on metabolic and renal changes.

Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse trans...

Anti-Fatigue and Exercise Performance Improvement Effect of Extract in Mice.

(GT) is a native perennial plant growing across the coastline areas in Taiwan. The current study ai...

A novel convolutional neural network for kidney ultrasound images segmentation.

BACKGROUND AND OBJECTIVE: Ultrasound imaging has been widely used in the screening of kidney disease...

TIMP-1: A Circulating Biomarker for Pulmonary Hypertension Diagnosis Among Chronic Obstructive Pulmonary Disease Patients.

Pulmonary hypertension (PH) is a common complication of chronic obstructive pulmonary disease (COPD)...

Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.

Heart failure is the most common cause of death in both males and females around the world. Cardiova...

Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.

Chronic kidney disease (CKD) has become a widespread disease among people. It is related to various ...