Urology

A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning.

Patients with type 2 diabetes mellitus (T2DM) are at higher risk for urinary tract infections (UTIs)...

Unveiling the predictive power: a comprehensive study of machine learning model for anticipating chronic kidney disease.

In today's modern era, chronic kidney disease stands as a significantly grave ailment that detriment...

A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.

OBJECTIVES: Development and validation of a computed tomography urography (CTU)-based machine learni...

Association between neutrophil-to-lymphocyte ratio and diabetic kidney disease in type 2 diabetes mellitus patients: a cross-sectional study.

AIMS: This investigation examined the possibility of a relationship between neutrophil-to-lymphocyte...

Re: Edward Lambert, Emmanuel Chartier-Kastler, Christophe Vaessen, et al. Robot-assisted Periprostatic Artificial Urinary Sphincter Implantation in Men with Neurogenic Stress Urinary Incontinence: Description of the Surgical Technique and Comparison of Long-term Functional Outcomes with the Open Approach. Eur Urol. 2024;85:139-45.

Serum CIRP increases the risk of acute kidney injury after cardiac surgery.

INTRODUCTION: Acute kidney injury (AKI) is a frequent perioperative complication. The underlying mec...

Cystic renal mass screening: machine-learning-based radiomics on unenhanced computed tomography.

PURPOSE: The present study compares the diagnostic performance of unenhanced computed tomography (CT...

BKPyV DNAemia in Kidney Transplant Recipients Undergoing Regular Screening: A Single-Centre Cohort Study.

Infection with BK polyomavirus (BKPyV) is a common opportunistic infection after kidney transplantat...

Automated Retinal Vessel Analysis Based on Fundus Photographs as a Predictor for Non-Ophthalmic Diseases-Evolution and Perspectives.

The study of retinal vessels in relation to cardiovascular risk has a long history. The advent of a ...

Contrast-Induced Nephropathy in Interventional Cardiology: Incidence, Risk Factors, and Identification of High-Risk Patients.

AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contra...

The Role of Pelvic Ultrasound in Evaluating the Success of Tension-free Vaginal Tape (TVT).

OBJECTIVES: This study aims to assess the lack of response to treatment in individuals undergoing mi...

Saline-assisted fascial exposure (SAFE) technique to improve nerve-sparing in robot-assisted laparoscopic radical prostatectomy.

OBJECTIVE: To provide a summary of our initial experience and assess the impact of the Saline-Assist...

Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization.

The diagnosis of kidney disease often involves analysing urine sediment particles. Traditionally, ur...

The bladder neck preservation in robot assisted radical prostatectomy: Surgical and pathological outcome.

INTRODUCTION: The post-prostatectomy incontinence is influenced by multiple elements, anatomic compo...

The Management of Diabetes with Hyperuricemia: Can We Hit Two Birds with One Stone?

Serum urate (SU) is an independent predictor for the incidence of diabetes. In current diabetes trea...

Treatment prediction with machine learning in prostate cancer patients.

There are various treatment modalities for prostate cancer, which has a high incidence. In this stud...

MASP-2 deficiency does not prevent the progression of diabetic kidney disease in a mouse model of type 1 diabetes.

Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albumi...

Using natural language processing to explore characteristics and management of patients with axial spondyloarthritis and psoriatic arthritis treated under real-world conditions in Spain: SpAINET study.

BACKGROUND: Spondyloarthritis (SpA) is a group of related but phenotypically distinct inflammatory d...

Machine learning prediction models for diabetic kidney disease: systematic review and meta-analysis.

BACKGROUND: Machine learning is increasingly recognized as a viable approach for identifying risk fa...

AI-powered real-time annotations during urologic surgery: The future of training and quality metrics.

INTRODUCTION AND OBJECTIVE: Real-time artificial intelligence (AI) annotation of the surgical field ...

Cuproptosis gene-related, neural network-based prognosis prediction and drug-target prediction for KIRC.

BACKGROUND: Kidney renal clear cell carcinoma (KIRC), as a common case in renal cell carcinoma (RCC)...