Latest AI and machine learning research in urology for healthcare professionals.
Xenobiotic chemicals and their metabolites are mainly excreted out of our bodies by the urinary trac...
BACKGROUND: Diet is one of the pillars of the treatment for patients with chronic kidney disease wit...
: Prostate-specific membrane antigen (PSMA) has gained high attention as a useful biomarker in the i...
Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever u...
PURPOSE: We sought to define features that describe the dynamic information in diuresis renograms fo...
The prognosis of paraquat (PQ) poisoning is highly correlated to plasma PQ concentration, which has ...
Pleural effusion is a common encounter in renal failure patients and frequently possess a diagnostic...
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy...
Gene expression signatures are commonly used as predictive biomarkers, but do not capture structural...
BACKGROUND: In 2006, a county-wide survey of general practitioners (GPs) in the United Kingdom (UK) ...
The adverse and beneficial health effects of nicotine (NIC), the major alkaloid found in cigarettes ...
BACKGROUND: Experimental evidence and preliminary clinical evidence suggest that environmental air p...
Cancer is caused by germline and somatic mutations, which can share biological features such as amin...
PURPOSE: Segmentation of the prostate on CT images has many applications in the diagnosis and treatm...
BACKGROUND: Although disease diagnosis has greatly benefited from next generation sequencing technol...
We utilize deep neural networks to develop prediction models for patient survival and conditional su...
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a ...
OBJECTIVE: To take the first step toward assembling population-based cohorts of patients with bladde...