Nephrology

Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.

Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...

Antioxidant Effect of Virgin Coconut Oil on Urea and Creatinine Levels on Maximum Physical Activity.

BACKGROUND: Maximal physical activity can produce an imbalance between reactive oxygen species (ROS)...

Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients.

OBJECTIVES: In the context of the gradual development of artificial intelligence in health care, the...

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...

The low-protein diet for chronic kidney disease: 8 years of clinical experience in a nephrology ward.

BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...

Sperm Tail Defects and Abnormal Testicular Blood Flow in a Beagle Dog: A Case Report.

A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal...

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to th...

Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomi...

Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer.

PURPOSE: The purpose of the study was to provide a comprehensive review of recent machine learning (...

Poly(ethylene glycol)-poly(ε-caprolactone)-based micelles for solubilization and tumor-targeted delivery of silibinin.

Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...

Machine Learning to Predict Acute Kidney Injury.

Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...

A machine learning approach for the prediction of pulmonary hypertension.

BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informa...

Estimating Residual Native Kidney Urea Clearance in Hemodialysis Patients with and without 24-Hour Urine Volume.

RATIONALE AND OBJECTIVE: Quantification of residual native kidney function (RKF) is rarely performed...

Is obesity a contraindication for kidney donation?

INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...

Progression of Metabolic Acidosis in Chronic Kidney Disease.

BACKGROUND: Metabolic acidosis, which is classified into either high anion gap type (high-AGMA) or n...

Foam Sclerotherapy for Cyst Volume Reduction in Autosomal Dominant Polycystic Kidney Disease: A Prospective Cohort Study.

RATIONALE & OBJECTIVE: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inher...

Re: Robotically-Assisted Sonic Therapy for Renal Ablation in a Live Porcine Model: Initial Preclinical Results.

Re: A Multi-Institutional Report of Peri-Operative and Functional Outcomes after Robot-Assisted Partial Nephrectomy in Patients with a Solitary Kidney.

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients.

This paper shows the application of machine learning techniques to predict hematic parameters using...

Machine learning method for the management of acute kidney injury: more than just treating biomarkers individually.