Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Kidney Function and Physical Performance Decline: The Brain in Kidney Disease (BRINK) Cohort Study.

RATIONALE & OBJECTIVE: Patients with kidney failure have poor physical performance, but its trajecto...

Risk Factors for Developing Low Estimated Glomerular Filtration Rate and Albuminuria in Living Kidney Donors.

RATIONALE & OBJECTIVE: Chronic kidney disease is associated with significant morbidity and mortality...

Dynamic parametric MRI and deep learning: Unveiling renal pathophysiology through accurate kidney size quantification.

Renal pathologies often manifest as alterations in kidney size, providing a valuable avenue for empl...

FastCellpose: A Fast and Accurate Deep-Learning Framework for Segmentation of All Glomeruli in Mouse Whole-Kidney Microscopic Optical Images.

Automated evaluation of all glomeruli throughout the whole kidney is essential for the comprehensive...

Automatic classification of kidney CT images with relief based novel hybrid deep model.

One of the most crucial organs in the human body is the kidney. Usually, the patient does not realiz...

Should AI allocate livers for transplant? Public attitudes and ethical considerations.

BACKGROUND: Allocation of scarce organs for transplantation is ethically challenging. Artificial int...

Microchip Versus Piezoelectric Point of Care Ultrasonography for Pulmonary and Vena Cava Evaluation in Patients With Acute Kidney Injury.

INTRODUCTION: Point-of-care ultrasonography (POCUS) has emerged as an important tool for examining c...

Trapdoor endarterectomy for coral reef plaque of the paravisceral aorta in the modern era.

Coral reef atherosclerosis of the paravisceral aorta is a rare disease whose description is confined...

European Nephrologists' Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey.

INTRODUCTION: The rapid advancement of artificial intelligence and big data analytics, including des...

Intraoperative Transfusion of Autologous Blood Protects from Acute Kidney Injury after Pediatric Congenital Heart Surgery.

BACKGROUND: Acute kidney injury (AKI) is a common complication after pediatric cardiac surgery. And ...

Robotic tomographic ultrasound and artificial intelligence for management of haemodialysis arteriovenous fistulae.

BACKGROUND: Arteriovenous fistulae (AVF) and Arteriovenous Grafts (AVG) may present a problematic va...

Exploring "Equigenesis" in the Associations Between Green Space and Kidney Health Among Middle-Aged and Older Adults Using Street View Data.

BACKGROUND AND OBJECTIVES: This study systematically explores the association between community gree...

Weight change in chronic kidney disease: Association with mortality and kidney function.

BACKGROUND: Excess body weight is a risk factor for the progression of chronic kidney disease (CKD),...

A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors.

Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There ar...

Central Auditory Processing Impairment in Renal Failure.

UNLABELLED: This study is the first to investigate central auditory processing impairment in patient...

Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans.

PURPOSE: Kidney volume is important in the management of renal diseases. Unfortunately, the currentl...

Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine.

KEY POINTS: The authors leverage the unique benefits of panoptic segmentation to perform the largest...

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