Latest AI and machine learning research in urology for healthcare professionals.
Background Recent deep learning (DL) approaches have shown promise in improving sensitivity but have...
BACKGROUND: Chronic kidney disease (CKD) patients show an increased burden of atherosclerosis and hi...
BACKGROUND: International variation in anemia assessment and management practices in chronic kidney ...
OBJECTIVES: To compare the early (≤30 days) postoperative mortality and morbidity in patients who un...
We report a framework based on a generative adversarial network that performs high-fidelity color im...
To investigate by means of a randomized clinical trial the safety of no drain in the pelvic cavity ...
OBJECTIVE: Photoselective vaporization of the prostate (PVP) is a widely performed surgical procedur...
A neural network model was previously developed to predict melatonin rhythms accurately from blue li...
PURPOSE OF REVIEW: The promise of artificial intelligence (AI) in medicine has been widely theorized...
BACKGROUND: A simple equation for glomerular filtration rate (GFR) measurement based on only plasma ...
The proper management of renal lithiasis presents a challenge, with the recurrence rate of the disea...
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone tre...
The conservative transoral approach to hilo-parenchymal submandibular stones has been proposed as an...
The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However...
Histopathological images contain morphological markers of disease progression that have diagnostic a...
OBJECTIVE: Artificial neural network (ANN) technology has been developed for clinical use to analyze...
The goal of this work was to develop a method for accurate and robust automatic segmentation of the ...
The development of decision support systems for pathology and their deployment in clinical practice ...
OBJECTIVES: To demonstrate the utility of a natural language processing (NLP) algorithm for mining k...
PURPOSE: To develop and validate a robust and accurate registration pipeline for automatic contour p...