Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND/AIM: The aim of the study was to evaluate the risk of venous thromboembolism (VTE) after robot-assisted radical prostatectomy (RARP) and discuss whether a uniform prophylaxis for VTE after radical prostatectomy is also suitable for robotic surgery. On this context, we investigated the incidence and risk factors of VTE, including asymptomatic events, after RARP compared to transurethral ...
BACKGROUND/AIM: To clarify the perioperative and oncological outcomes of robot-assisted radical cystectomy (RARC) in advanced bladder cancer (BC) pati...
BACKGROUND: To evaluate the utility of robot-assisted laparoscopic transabdominal preperitoneal repair (R-TAPP) of postprostatectomy inguinal hernia (...
PURPOSE OF REVIEW: Radical cystectomy is a complex procedure that encompasses surgery involving the urinary, gastrointestinal tracts and the retroperi...
PET imaging with targeted novel tracers has been commonly used in the clinical management of prostate cancer. The use of artificial intelligence (AI) ...
OBJECTIVE: To evaluate image quality of deep learning-based image reconstruction (DLIR) in contrast-enhanced renal and adrenal computed tomography (CT...
Persistence of urinary incontinence (UI) after robot-assisted radical prostatectomy (RARP) is a bothersome problem because of its negative effect on t...
Robot-assisted laparoscopic prostatectomy (RALP) for prostate cancer was introduced in 2000 and rapidly gained popularity. The Da Vinci Surgical Syste...
BACKGROUND: Pentafecta is currently the standard in the comprehensive evaluation of patients undergoing radical prostatectomy, the objective of this s...
MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation and degradation of mRNA and have been associated wit...
The study was aimed to determine the diagnostic yield and outcome of transrectal ultrasound-guided prostate biopsy (TRUSPB) in a cohort of Sri Lankan ...
OBJECTIVES: Chronic kidney disease (CKD) has become an important public health problem in the world. The occurrence of cardiovascular events is the ma...
With the rapid development of artificial intelligence technology, researchers have applied it to the diagnosis of various tumors in the urinary system...
BACKGROUND: The potential of deep learning to support radiologist prostate magnetic resonance imaging (MRI) interpretation has been demonstrated.
Robot-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic radical nephrectomy (LRN), but there are concerns...
Robot-assisted laparoscopic partial nephrectomy (RAPN) for completely endophytic renal tumors is challenging because of the tumor complexity. The enu...
A biologically informed sparse neural network, P-NET, revealed previously unknown potential drivers.
PURPOSE OF REVIEW: Acute kidney injury (AKI) affects nearly 60% of all patients admitted to ICUs. Large volumes of clinical, monitoring and laboratory...
OBJECTIVES: Nowadays, Robotic assistedkidney transplantation (RAKT) is considered a lessinvasive alternative to the Open Kidney Transplantation(OKT) w...