Urology

Research on the Application Value of Blood Plasma Autofluorescence Spectroscopy Model Constructed by Machine Learning Algorithms in Identifying the Types of Post-operative Kidney Transplantation Injury.

BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in cl...

Predicting Persistent Renal Failure Necessitating Dialysis in Patients Undergoing Elective, Open Thoracoabdominal Aortic Aneurysm Repair.

BACKGROUND: Acute renal failure remains a significant complication after open thoracoabdominal aorti...

[The Digital Lab: Practical digital workflow and integration of AI for routine in pathology, through the example of prostate cancer].

Digital pathology is a major technological revolution for pathology. It modernizes routine practices...

Reinforcement learning-guided segment anything model for MRI prostate and dominant intraprostatic lesions auto-segmentation.

Objective. Accurate segmentation of the prostate and dominant intraprostatic lesions (DILs) on magne...

Automatic classification of kidney stone components based on smartphone microscopy and the GoogLeNet model.

BACKGROUND: To develop an automated classification system for urinary stone composition by integrati...

Machine Learning Tools for Predicting Pediatric Urinary Tract Infections Caused by ESBL-producing Bacteria.

BACKGROUND: The prevalence of pediatric urinary tract infections (UTIs) caused by extended-spectrum ...

Applicability of mitotic figure counting by deep learning: a development and pan-cancer validation study.

Mitotic figure counting is an established measure of cell proliferation that is included in grading ...

Beyond sensitivity: artificial intelligence and micro-ultrasonography in prostate cancer detection.

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need ...

A two-stage deep learning framework for kidney disease detection using modified specular-free imaging and EfficientNetB2.

Kidney diseases represent a substantial public health concern, with their incidence increasing marke...

Integrative transcriptomic and machine learning analysis identifies PYCARD and IFI30 as immune-lysosomal biomarkers of ANCA-associated glomerulonephritis.

OBJECTIVES: ANCA-associated glomerulonephritis (ANCA-GN) is an immune-mediated kidney disease leadin...

Limitation of existing GFR estimating equations and application of artificial intelligence in improving GFR estimation and chronic kidney disease progression in people with diabetes.

The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation is the most commonly u...

Letter to the Editor: Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localising clinically significant prostate cancer by simulation of targeted biopsies.

Reply to the Letter to the Editor: Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies.

Artificial intelligence-derived transition zone PSA density as a triage tool to reduce unnecessary prostate systematic biopsies in MRI-negative men.

OBJECTIVES: The study aimed to assess the predictive performance of transition zone PSA density (TZ-...

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms.

OBJECTIVES: Incomplete or incorrect causal theories are a key source of bias in machine learning (ML...

Predicting renal-cell carcinoma recurrence after partial nephrectomy: a CT-radiomics approach.

BACKGROUND: About 30-40% of patients with renal-cell carcinoma experience recurrence within 5 years ...

RAMA: implementing Machine Learning to develop mortality risk prediction models for NICU patients with Acute Kidney Injury.

BACKGROUND: Acute Kidney Injury (AKI) is common in neonates admitted to the Neonatal Intensive Care ...

Renal graft imaging: An update and overview.

Imaging of renal graft function and pathology, including delayed graft function (DGF), often require...

Comparing Generative Artificial Intelligence vs Experts for Detection of Catheter-Associated Urinary Tract Infection.

A retrospective cohort study compared generative artificial intelligence (GenAI) versus infection co...

Updates on Kidney Transplantation From the World Transplant Congress 2025.

The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation....