Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: We assess whether short-term recovery of urinary incontinence following robot-assisted laparoscopic radical prostatectomy (RARP) is associated with postoperative membranous urethral length (MUL) and position of vesico-urethral anastomosis (PVUA).
PURPOSE: Segmenting organs in cone-beam CT (CBCT) images would allow to adapt the radiotherapy based on the organ deformations that may occur between treatment fractions. However, this is a difficult task because of the relative lack of contrast in CBCT images, leading to high inter-observer variability. Deformable image registration (DIR) and deep-learning based automatic segmentation approaches ...
BACKGROUND: Symptomatic lymphoceles present the most common complication of robot-assisted radical prostatectomy (RARP) with extended pelvic lymph nod...
The success of neural networks on medical image segmentation tasks typically relies on large labeled datasets for model training. However, acquiring a...
BACKGROUND: Time-resolved 4D cone beam-computed tomography (4D-CBCT) allows a daily assessment of patient anatomy and respiratory motion. However, 4D-...
INTRODUCTION: Durable techniques that prevent postoperative inguinal hernia (IH) after robot-assisted radical prostatectomy (RARP) have not been estab...
BACKGROUND: Urine cytology is commonly used as a screening test for high-grade urothelial carcinoma for patients with risk factors or hematuria and is...
PURPOSE: Few data exist regarding the functional outcomes of robot-assisted radical cystectomy (RARC) with intracorporeal orthotopic neobladder. The a...
BACKGROUND: Ureteral injury and vaginal fistula are common complications after surgical treatment and radiotherapy of gynecological tumor. Ureteral in...
This paper presents an automatic recognition system for classifying stones belonging to different Calabrian quarries (Southern Italy). The tool for st...
We evaluate the accuracy of an original hybrid segmentation pipeline, combining variational and deep learning methods, in the segmentation of CT scans...
OBJECTIVE: To report perioperative and postoperative outcomes in men who undergo salvage RASP (sRASP) following some other endoscopic outlet procedure...
To test the safety and feasibility of laser lithotripsy for midsize renal stones using a newly developed robotic retrograde intrarenal surgery (RIRS)...
For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are routinely implemented in clinical practice. Artif...
: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobial resistance data. These data, however, are scarc...
Opioid dependency has been a persistent issue in the United States over the past two decades. Increased efforts have been made to reduce opioid presc...
To assess the performance and added value of processing complete digital endoscopic video sequences for the automatic recognition of stone morphologic...
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by residual segmentation attention dual channel network (...
Sodium-glucose cotransporter 2 (SGLT2), also known as solute carrier family 5 member 2 (SLC5A2), is a promising target for a new class of drugs prima...