OBJECTIVES: To automatically identify and diagnose bladder outflow obstruction (BOO) and detrusor underactivity (DUA) in male patients with lower urinary tract symptoms through urodynamics exam.
AIMS: The integration of artificial intelligence (AI) into functional urology management must be assessed for its clinical utility, but hopefully will change, perhaps to revolutionize the way LUTD and other conditions are assessed, the aim being to o...
BACKGROUND: Artificial intelligence models are increasingly gaining popularity among patients and healthcare professionals. While it is impossible to restrict patient's access to different sources of information on the Internet, healthcare profession...
BACKGROUND: Machine learning algorithms as a research tool, including traditional machine learning and deep learning, are increasingly applied to the field of urodynamics. However, no studies have evaluated how to select appropriate algorithm models ...
INTRODUCTION: Artificial intelligence (AI) shows immense potential in medicine and Chat generative pretrained transformer (ChatGPT) has been used for different purposes in the field. However, it may not match the complexity and nuance of certain medi...
INTRODUCTION: A "Think Tank" at the International Consultation on Incontinence-Research Society meeting held in Bristol, United Kingdom in June 2023 considered the progress and promise of machine learning (ML) applied to urodynamic data.
AIMS: This study aimed to investigate the postoperative urinary continence rate and incontinence types compared over time between conventional robot-assisted radical prostatectomy (C-RARP) and Retzius-sparing RARP (RS-RARP).
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of robot-assisted laparoscopic cystectomy with non-continent urinary diversion in patients with neurogenic lower urinary tract dysfunction.
BACKGROUND: Urinary continence (UC) recovery dramatically affects quality of life after robot-assisted radical prostatectomy (RARP). Membranous urethral length (MUL) has been the most studied anatomical variable associated with UC recovery.
AIM: The objective of the present study was to compare the outcomes of open versus laparoscopic versus robotic cystectomy and ileal conduit for neurogenic lower urinary tract dysfunction (NLUTD).