Nephrology

Attention-based deep learning for immunoglobulin typing from electrophoresis and laboratory data.

BACKGROUND: Interpretation of immunotyping results from serum protein electrophoresis (SPE) remains ...

Machine learning pipeline for automated segmentation and classification of complicated cystic renal masses on MRI: comparison with radiologists' assessments.

PURPOSE: To develop and validate a machine learning (ML)-based pipeline for automated segmentation a...

Direction-Aware convolution for airway tubular feature enhancement network.

Manual annotation of airway regions in computed tomography images is a time-consuming and expertise-...

Learning curve for fenestrated-branched endovascular aortic repair using machine learning: A prospective national multicenter registry study.

OBJECTIVE: Fenestrated-branched endovascular aortic repair (F-BEVAR) is a complex procedure that req...

Molecular pathways of kidney development and their applications to clinical research.

Congenital anomalies of the kidney and urinary tract (CAKUT) are the major cause of childhood chroni...

Unsupervised machine learning for identifying morphological phenotypes in abdominal aortic aneurysms using fully automated volume-segmented imaging: a multicentre cohort study.

AIMS: Thrombo- and microembolic complications following abdominal aortic aneurysm (AAA) repair are h...

Diverse combination of factors associated with the development of diabetic kidney disease among data-driven diabetes subtypes: analysis of the J-DREAMS registry.

AIMS/HYPOTHESIS: Available methods for predicting the onset and progression of diabetic kidney disea...

Deep learning-based perfusion quantification and large vessel exclusion for renal multi-TI arterial spin labelling MRI.

The multi-TI flow-sensitive alternating inversion recovery sequence is a common ASL technique for pr...

Streamlining the Histopathologic Workflow in Diabetic Kidney Disease with Artificial Intelligence.

KEY POINTS: Artificial intelligence models effectively generalized across studies and animal models ...

Predictive value of dynamic creatinine cumulative exposure and trajectory classification onmortality in severe acute pancreatitis: a multicenter retrospective cohort study.

AIMS: This study aims to evaluate the predictive value of cumulative creatinine exposure (CumCr) and...

Responsible Use of Artificial Intelligence to Improve Kidney Care: A Statement from the American Society of Nephrology.

Artificial intelligence (AI) is rapidly transforming the delivery of kidney care through predictive ...

The application of machine learning in the evaluation of urinary tract infections incidence in patients in a Nursing and Treatment Facility.

BACKGROUND: Urinary tract infection (UTI) is a serious problem in the healthcare system. It is cause...

Renal Cell Carcinoma subtyping: Learning from multi-resolution localization.

BACKGROUND AND OBJECTIVE: Renal Cell Carcinoma (RCC) is often diagnosed at advanced stages, limiting...

Machine Learning-Based Analysis of UF-5000 Scattergrams Improves the Identification of Urinary Dysmorphic Red Blood Cells.

BACKGROUND: Identifying dysmorphic red blood cells (RBCs) is critical for diagnosing glomerular dise...

Construction and validation of a hypertensive nephropathy diagnostic model based on mitochondrial-related genes using machine learning combined with WGCNA.

BACKGROUND: Hypertensive nephropathy (HTN) arises from chronic hypertension and may potentially resu...

Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.

KEY POINTS: TraceOrg is a web-based tool that automatically labels kidney, liver, and cysts, reporti...

Artificial intelligence-based segmentation of small renal masses: a multi-center, multi-scanner, multi-sequence study.

OBJECTIVES: This study aims to develop an artificial intelligence (AI)-based automated segmentation ...

Comparison of glass-based and whole-slide image-based grade assignment for clear-cell and papillary renal cell carcinoma: a multi-cohort, international reproducibility study.

BACKGROUND AND AIMS: Histological grading of renal cell carcinoma (RCC) is an important part of diag...

Correction to: Kidney Week 2025 Abstract Artificial Intelligence in Autosomal Dominant Polycystic Kidney Disease: Transforming Diagnosis, Risk Stratification, and Therapeutic Interventions SA-PO0555.

Using precision medicine methods to identify disease stages for chronic limb-threatening ischemia in participants of the BEST-CLI trial.

BACKGROUND: Chronic limb-threatening ischemia (CLTI), the most severe form of peripheral artery dise...

A brief review of some artificial intelligence methods in nephrology.

This brief, focused review considers two of the more commonly used artificial intelligence (AI) meth...