Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Renal transplantation is the preferred treatment for end-stage chronic kidney disease bu...
OBJECTIVE: Latent diffusion models (LDM) could alleviate data scarcity challenges affecting machine ...
Current diagnostic tests for lower urinary tract symptoms (LUTS) do not assess tissue-level alterati...
BACKGROUND: Accurate delineation of the prostate and surrounding organs-at-risk (OARs) is essential ...
BACKGROUND: Boron neutron capture therapy (BNCT) is a binary radiotherapy that selectively kills tum...
BACKGROUND: There is an increasing use of magnetic resonance imaging (MRI) for segmentation of targe...
BACKGROUND: Goal-directed therapy allows clinicians to optimize perfusion and volume status in patie...
BACKGROUND: Tumor-Specific Peptides (TSPs) and Tumor-associated Overexpressed Proteins (TOPs) are pr...
BACKGROUND: Focused cardiac ultrasound (FoCUS) has become the standard of care for bedside assessmen...
OBJECTIVES: To develop and validate explainable machine learning (ML) models predicting urinary ston...
Urolithiasis remains a significant clinical burden, and accurately predicting stone-free status afte...
AIM: Heart failure (HF) poses a growing public health burden, yet conventional risk stratification m...
BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learni...
OBJECTIVE: To evaluate the performance and interpretability of multiple ML algorithms for survival p...
PURPOSE: To develop and externally validate a simplified apparent diffusion coefficient (ADC)-based ...
Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) pr...
BACKGROUND: Diastolic dysfunction is common in patients with aortic stenosis and may influence outco...
PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the Lit...
Prostate-specific membrane antigen positron emission tomography (PSMA-PET) has become pivotal in pro...
OBJECTIVE: Predicting postoperative deterioration following cardiac surgery remains challenging. Con...
PURPOSE: This study aimed to develop and validate an artificial intelligence (AI) predictive model f...