Latest AI and machine learning research in urology for healthcare professionals.
The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffe...
The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial...
OBJECTIVES: The importance of clinical outcome prediction models using artificial intelligence (AI) ...
OBJECTIVES: To develop and validate a risk calculator for prostate cancer (PCa) and clinically signi...
BACKGROUND: Community-acquired acute kidney injury (CA-AKI)-associated hospitalizations impose signi...
CONTEXT: The majority of prostate cancer diagnoses are facilitated by testing serum Prostate Specifi...
INTRODUCTION: Mobile applications ("apps") developed for smartphones and tablets are increasingly us...
IMPORTANCE: Acute kidney injury (AKI) is associated with increased morbidity and mortality in hospit...
PURPOSE: Many researchers have developed deep learning models for predicting clinical dose distribut...
Artificial intelligence, especially the deep learning paradigm, has posed a considerable impact on c...
To compare short- and midterm outcomes of the first 55 patients undergoing robot-assisted kidney tr...
The cumulative sum (CUSUM) approach has been adopted to evaluate surgical competence in various con...
BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that re...
PURPOSE: Prostate cancer has a low mortality rate and requires persistent treatment; however, treatm...
OBJECTIVES: To investigate whether a deep learning model from magnetic resonance imaging information...
The EAU guidelines panel on muscle-invasive and metastatic bladder cancer (MIBC) recently recommende...
We demonstrate that prostate cancer can be identified by flow cytometric profiling of blood immune c...
BACKGROUND: Sarcopenia, a syndrome characterized by the loss of skeletal muscle mass, has attracted ...
PURPOSE: To develop a deep learning-based model for prostate planning target volume (PTV) localizati...
STUDY OBJECTIVE: Acute kidney injury occurs commonly and is a leading cause of prolonged hospitaliza...
OBJECTIVES: To evaluate short-term test-retest repeatability of a deep learning architecture (U-Net)...