Urology

Optimized Prostate Cancer Stage Classification Using XGBoost Based on Racial miRNA Expression.

BACKGROUND/AIM: Prostate cancer has a high mortality rate and shows diagnostic disparities between racial groups, particularly between White and Black populations. This study aimed to develop a prostate cancer stage classification model using the XGBoost algorithm on miRNA expression data with a focus on race-based analysis. MATERIALS AND METHODS: The data used in this study were obtained from the...

Bone Mineral Density Loss After Kidney Transplantation: Metabolic Determinants, Diagnostic Approaches, and Preventive Strategies.

Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during the first year after kidney transplantation reflects complex interactions between immunosuppressive therapy, metabolic factors and pre-existing chronic kidney disease (CKD)-MBD. This narrative review summarizes the magnitude and time course of BMD loss...

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal anti-inflammatory drugs (NSAIDs) during emergency d...

Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in intensive care unit (ICU) patients, with high incide...

Screening of Medicinal and Edible Homology Substances for Diabetic Kidney Disease Based on GraphBAN.

BACKGROUND: Diabetic kidney disease (DKD) is a critical microvascular complication of diabetes mellitus, and the current pharmacotherapies are limited...

Clinical applications of artificial intelligence in autosomal dominant polycystic kidney disease.

Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder leading to kidney failure. Recent advancements in arti...

Global Landscape and Translational Trajectories of Pelvic Floor Muscle Rehabilitation for Urinary Incontinence.

INTRODUCTION AND HYPOTHESIS: Urinary incontinence (UI) is a highly prevalent condition worldwide, with stress urinary incontinence (SUI) and overactiv...

The HLH-Risk-Calculator is a machine learning-based tool to predict course & mortality of secondary hemophagocytic lymphohistiocytosis.

PURPOSE: Secondary hemophagocytic lymphohistiocytosis (sHLH) is a life-threatening hyperinflammatory condition. While few diagnostic scores are establ...

Leveraging an Explainable Machine Learning Model for Early Identification of Acute Kidney Injury: A Retrospective Study.

BACKGROUND: Delayed identification of acute kidney injury (AKI) limits timely intervention, as diagnosis often depends on serum creatinine elevation a...

Prognostic models for diabetic kidney disease outcomes: A systematic review.

OBJECTIVE: This systematic review aimed to systematically evaluate the methodological quality and predictive performance of existing prognostic models...

Beyond the tumor: Recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancer.

Prostate-specific membrane antigen (PSMA) PET/CT is routinely used to restage prostate cancer (PCa) in patients with biochemical recurrence (BCR), yet...

Enhancing anatomical recognition by surgeons during pelvic lymph node dissection using artificial intelligence.

The lateral pelvis is a critical anatomical region in colorectal, gynecological, and urological surgeries. However, its anatomical complexity and vari...

AI-driven model for early failure prediction after HIFU integrating immediate post-ablation ultrasound and clinical data.

PURPOSE: High-Intensity Focused Ultrasound (HIFU) is an emerging focal therapy for localized prostate cancer, offering an alternative to radical prost...

European Cancer Prevention Organization on cancer screening: an expert panel position paper.

BACKGROUND: Cancer screening is a cornerstone of cancer control in Europe yet marked disparities persist in access, implementation, and quality assura...

Predicting 1-Year Renal Outcomes in Patients with Diabetic Kidney Disease in CKD Stages 3 to 4: A Multimodal Machine Learning Approach Fusing Clinical Composites and Pathology Images.

Patients with diabetic kidney disease (DKD) at chronic kidney disease (CKD) stages 3 to 4 are at high risk for rapid renal function decline within 1 y...

Deep learning analysis of ECGs detects Cardiovascular-Kidney-Metabolic syndrome burden in people with diabetes: a report from the Silesia Diabetes-Heart Project.

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome refers to the co-occurrence of obesity, diabetes, chronic kidney disease (CKD), and cardiov...

Crossover effect: causal machine learning reveals opposing mortality responses to mean arterial pressure targets among phenotypically distinct hypertensive patients with septic shock.

AIMS: To quantify the heterogeneity of treatment effects of higher versus standard MAP targets on 28-day mortality, to identify distinct clinical phen...

Diagnostic performance of bpMRI versus mpMRI and AI-assisted bpMRI in prostate cancer detection: a multi-reader study.

PURPOSE: To compare biparametric MRI (bpMRI) and multiparametric MRI (mpMRI) for detecting clinically significant prostate cancer (csPCa), and to asse...

Integrated multi-omics analysis reveals folate metabolism-related genes as prognostic markers and therapeutic targets in clear cell renal cell carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an aggressive tumor with high metastatic potential and therapeutic resistance, yet the role of ...

Risk Assessment for Upper Urinary Tract Deterioration in Patients with Neurogenic Bladder: A Retrospective Study Using Interpretable Machine Learning Algorithms.

PURPOSE: Upper urinary tract deterioration (UUTD) is a burdensome complication in neurogenic bladder (NB) patients. In this study, we aim to develop a...