Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVES: In the context of the gradual development of artificial intelligence in health care, the...
Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...
BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...
A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal...
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to th...
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomi...
Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...
A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...
BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informa...
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...
To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisia...
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...
OBJECTIVE: Once chronic inflammatory renal disease (IRD) develops, it creates a severe peri-fibrotic...
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...