Nephrology

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

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Fully automated segmentation and classification of renal tumors on CT scans via machine learning.

BACKGROUND: To develop and test the performance of a fully automated system for classifying renal tu...

Recalibrating the kidney failure risk equation for a Mediterranean European population: reducing age and sex inequality.

INTRODUCTION: Chronic kidney disease (CKD) patients may develop kidney failure (KF), receiving renal...

Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials.

Membrane incompatibility poses significant health risks, including severe complications and potentia...

Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis.

OBJECTIVES: The detection of renal cell carcinoma (RCC) tumors in the earlier stages is of great imp...

Evaluating AI performance in nephrology triage and subspecialty referrals.

Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in th...

Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers.

BACKGROUND: Health equity and access to essential medical information remain significant challenges,...

Identification and validation of key autophagy-related genes in lupus nephritis by bioinformatics and machine learning.

INTRODUCTION: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of...

Machine-learning model based on ultrasomics for non-invasive evaluation of fibrosis in IgA nephropathy.

OBJECTIVES: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasiv...

Intestinal Microbiome Modulation of Therapeutic Efficacy of Cancer Immunotherapy.

Bacteria are associated with certain cancers and may induce genetic instability and cancer progressi...

A noninvasive hyperkalemia monitoring system for dialysis patients based on a 1D-CNN model and single-lead ECG from wearable devices.

This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis pat...

Machine learning-driven Raman spectroscopy: A novel approach to lipid profiling in diabetic kidney disease.

Diabetes mellitus is a chronic metabolic disease that increasingly affects people every year. It is ...

Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient surviv...

Artificial intelligence assisted risk prediction in organ transplantation: a UK Live-Donor Kidney Transplant Outcome Prediction tool.

Predicting the outcome of a kidney transplant involving a living donor advances donor decision-maki...

Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision.

INTRODUCTION: Diabetic nephropathy (DN) is a common diabetes-related complication with unclear under...

Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.

BACKGROUND: Ureteral stents, such as double-J stents, have become indispensable in urologic procedur...

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