Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostat...
BACKGROUND: Minimal access surgery (MAS) is well-established in urological surgery. However, MAS is ...
Fully Convolutional Networks (FCNs) have emerged as powerful segmentation models but are usually des...
Specimen pathology findings collectively impact the long-term outcomes of robot-assisted laparoscop...
In longitudinal studies, outcomes are measured repeatedly over time and it is common that not all th...
OBJECTIVE: To determine the age-specific reference ranges of prostate-specific antigen (PSA) in the ...
Prostate cancer (PCa) is a common malignant tumor with increasing incidence and high heterogeneity a...
Robot-assisted partial nephrectomy (RAPN) is increasingly applied to renal hilar tumors. The presen...
INTRODUCTION: Adverse effects in the sexual sphere are common in patients who have undergone radical...
BACKGROUND: The aim of this study was to compare the incidence of early postoperative delirium in th...
PURPOSE: Between 30%-40% of patients with prostate cancer experience disease recurrence following ra...
For robot-assisted rehabilitation and assessment of patients with motor dysfunction, the parametric ...
BACKGROUND: Online Cancer Support Groups (OCSG) are becoming an increasingly vital source of informa...
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic diagnosis of c...
OBJECTIVES: To present a comprehensive report regarding our experience with single-port robotic surg...
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stone...
Robot-assisted radical cystectomy (RARC) with intracorporeal Studer pouch formation (ICSPF) is incr...
To describe our experience with robot-assisted laparoscopic dismembered extravesical cross-trigonal...
An underwater manipulator is essential for underwater robotic sampling and other service operations....
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local feature...