Urology

Integrative Machine Learning Model Leveraging DCE-MRI and PSA Values for Advanced Risk Stratification in Prostate Cancer.

PURPOSE: Accurate grading of prostate cancer is critical for treatment strategies and risk stratific...

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...

Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies.

INTRODUCTION AND OBJECTIVES: An AI model that performs well during training does not guarantee simil...

Combination of a modified dietary tool and spot urine collection: an improved method for daily sodium intake estimation.

PURPOSE: Recently, an improved food frequency questionnaire focused on assessing daily sodium (Na) i...

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...

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...

Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI (ProMT-ML) in Patients With Suspected Prostate Cancer.

BACKGROUND: Access to prostate MRI remains limited due to resource constraints and the need for expe...

Towards Precision Oncology: A New Predictive Machine Learning Model for Early Progression to Castration Resistant Prostate Cancer.

BACKGROUND AND OBJECTIVE: Metastatic castration-resistant prostate cancer (mCRPC) is an aggressive, ...

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 ...

Advanced artificial intelligence combined with SERS platforms for diagnosis and therapeutic effects of cancer in clinical applications.

Surface-Enhanced Raman Spectroscopy (SERS) has become a valuable way to detect small amounts of mole...

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...

An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma.

Background: Acute Kidney Injury (AKI), a leading organ failure cause in critical patients, demands e...

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

Xception Convolutional Deep Maxout Network for Enhanced Breast Cancer Classification Using Histopathological Images.

Globally, breast cancer represents the leading cancer type, with millions of women impacted annually...

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...

"PD-PREDICT": A Machine Learning Model for Patient Survival in Peritoneal Dialysis.

Accurate survival prediction in peritoneal dialysis (PD) patients is essential for personalized trea...

Histopathology-based Artificial Intelligence Algorithms for the Prediction of Prostate Cancer Metastasis After Radical Prostatectomy.

BACKGROUND AND OBJECTIVE: Multimodal artificial intelligence (AI) algorithms have been validated to ...

Utility of the PROSTest, a Novel Blood-Based Molecular Assay, Versus PSA for Prostate Cancer Stratification and Detection of Disease.

BACKGROUND: Prostate cancer (PCa) is the most common solid organ cancer in men and the fifth leading...