Latest AI and machine learning research in urology for healthcare professionals.
Kidney stones are a common urologic condition with a high amount of recurrence. Recurrence depends o...
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean ...
OBJECTIVE: To conduct a meta-analysis assessing the perioperative, functional and oncological outcom...
In the current clinical care practice, Gleason grading system is one of the most powerful prognostic...
PURPOSE: Accurate segmentation of the prostate on computed tomography (CT) for treatment planning is...
In this paper, we propose a deep recurrent neural network (DRNN) for the estimation of bladder press...
Lower urinary tract symptoms (LUTS) are mostly caused by hyperplasia of the prostate in the elderly...
OBJECTIVE: Determine the utility of a clinical calculator to predict the benefit of chemotherapy in ...
The accumulation of reactive α-dicarbonyl leading to advanced glycation end products (AGEs) have bee...
OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed...
Ultrasound guidance is not in widespread use in prostate cancer radiotherapy workflows. This can be ...
OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneu...
BACKGROUND: The pathologic diagnosis and Gleason grading of prostate cancer are time-consuming, erro...
A 74-year-old man presented with rapid rising prostate-specific antigen (PSA) 2 years after treatmen...
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...
BACKGROUND: Egypt is among the countries with the highest incidence of bladder cancer (BC). Adipokin...
Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. ...
PURPOSE: Several guidelines recommend pelvic lymph node dissection (PLND) at robot-assisted radical ...