Urology

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several nature, from cardiovascular to renal ones. OSA is typically treated through continuous positive airway pressure (CPAP), but more investigations are needed to confirm its benefits. METHODS: In this work, survival analysis has been exploited and enhanced with eXplainable Artifical Intelligence (XAI) ...

Shaping the Future of Men's Health: How AI Could Be a Transformative Tool for Better Patient Outcomes and Provider Efficiency.

Men's health urology faces growing challenges driven by workforce shortages, rising disease burden, and persistent disparities in care. Despite an increasing prevalence of conditions like benign prostatic hyperplasia, prostate cancer, and urinary tract infections, more than half of U.S. counties lack a practicing urologist. Stigma, access, and uncertainty lead men to delay care further, resulting ...

Single-cell and spatial transcriptomics reveal SUV39H1 as a master epigenetic driver of immunosuppressive niche and stemness in bladder cancer.

Bladder cancer (BC) exhibits profound molecular heterogeneity and a highly dynamic tumor microenvironment, posing major challenges for effective thera...

Reporting and Data Systems (RADS) in Radiology: The Chinese Experience.

The Reporting and Data Systems (RADS) framework has become a key driver of structured reporting and standardization in radiology. This review summariz...

Integrated machine learning for cause-of-death classification and postmortem interval prediction: Liver and kidney metabolomics from seawater-immersed rat cadavers.

PURPOSE: To assess whether liver and kidney metabolomics combined with machine learning can distinguish seawater drowning from postmortem submersion a...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

Reliability and readability of AI chatbot responses to patient questions about robot-assisted radical cystectomy.

Robot-assisted radical cystectomy (RARC) is a complex procedure that requires patients to understand surgical indications, urinary diversion, perioper...

Non-Invasive Triage of Bladder Outlet Obstruction and Detrusor Underactivity in Men With Lower Urinary Tract Symptoms: A Narrative Review and Conceptual Framework for Depth-Aware Multimodal Transcutaneous Testing.

INTRODUCTION: Differentiating bladder outlet obstruction (BOO) from detrusor underactivity (DU) remains a major unmet need in the management of lower ...

Centrosome-related gene SPHK1 drives bladder cancer progression and therapeutic vulnerability.

BACKGROUND: Centrosome-related genes (CRGs) regulate cell division and genomic stability and may influence tumor progression, but their prognostic and...

Cardiorenal Syndrome: Pathophysiological Crosstalk Between Heart and Kidney.

Cardiorenal syndrome (CRS) describes the bidirectional deterioration of cardiac and renal function, in which dysfunction of one organ induces or perpe...

Qualitative and dosimetric evaluation of AI-generated contours for conventional and under-reported organs at risk in prostate cancer radiotherapy.

PURPOSE: Accurate delineation of organs at risk (OARs) is essential in radiotherapy planning, influencing both dosimetry and potential short-and long-...

Deep learning approaches for predicting response to neoadjuvant chemotherapy in muscle invasive bladder cancer: A systematic review.

Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the standard of care for muscle-invasive bladder cancer (MIBC), yet treatment respons...

Non-invasive diagnostic evaluation of urinary exosomal let-7c cluster expression in bladder cancer using machine learning approaches.

BACKGROUND: Bladder cancer (BCa) diagnosis typically relies on invasive cystoscopy, which is effective but costly and uncomfortable. Urinary microRNAs...

Machine learning-based clinical models for prediction of urinary incontinence after robot-assisted laparoscopic radical prostatectomy.

OBJECTIVE: To investigate risk factors for urinary incontinence (UI) after robot-assisted laparoscopic radical prostatectomy (RARP) using interpretabl...

A bladder cancer-associated gene signature for exploratory qPCR-based survival stratification in NAC-Treated muscle-invasive bladder cancer.

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is an aggressive and heterogeneous malignancy with limited biomarkers to guide patient stratificatio...

Atrial Fibrillation in Patients With Myocardial Infarction: Global Burden, Predictors, and Prognostic Impact.

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia worldwide. Acute myocardial infarction (AMI) is closely intertwined with AF throug...

AI-assisted TURP slide review: a multi-reader study of efficiency, diagnostic performance, and human-AI error patterns.

Transurethral resection of the prostate (TURP) specimens represent a low-prevalence, high-volume diagnostic task in which pathologists must identify r...

Predicting miRNA-disease associations based on adaptive neighborhood propagation and feature spatial recombination.

MicroRNAs (miRNAs) are critical regulators in biological processes such as cell proliferation, differentiation, and apoptosis, with their aberrant exp...

Chaotropic Surface Chemistry for Protein Profiling with Solid-State Micropores.

Proteins derive their biological identity from an amino acid sequence, and even subtle sequence variations can mark disease states, therapeutic respon...

DynStabNet: A Deep Learning Framework for Fast Dynamical Stability Prediction of Crystal Structures.

Semiconductor materials are widely used in electronic, optoelectronic, and energy applications. While DFT-based phonon calculations provide highly acc...