Latest AI and machine learning research in nephrology for healthcare professionals.
RATIONALE AND OBJECTIVE: Quantification of residual native kidney function (RKF) is rarely performed...
INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...
BACKGROUND: Metabolic acidosis, which is classified into either high anion gap type (high-AGMA) or n...
RATIONALE & OBJECTIVE: Autosomal dominant polycystic kidney disease (ADPKD) is the most common inher...
This paper shows the application of machine learning techniques to predict hematic parameters using...
The objective of our study was to compare the performance of radiologicradiomic machine learning (M...
OBJECTIVES: Transplant nephrectomy is a technically challenging procedure with high complication rat...
This study aimed to investigate the differences in the metabolic profiles in serum of dairy cows tha...
BACKGROUND: Kidney allocation is a multi-criteria and complex decision-making problem, which should ...
BACKGROUND: The development of deep neural networks is facilitating more advanced digital analysis o...
Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So ...
RATIONALE & OBJECTIVE: Sustainable interventions that enhance chronic kidney disease (CKD) managemen...
OBJECTIVE: To investigate the discriminative capabilities of different machine learning-based classi...
BACKGROUND: Ethephon (EP) is the most famous plant growth regulator with different adverse effects o...
The objective of this work is to reduce the user effort required for 2D segmentation when building p...
OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during con...
INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose d...
Artificial intelligence is playing an increasingly important role in many fields of medicine, assist...
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the ...
One of the main problems of the decellularization technique is the subjectivity of the final evaluat...
This paper presents a new approach for precisely estimating the renal vascular dominant region using...