Urology

The spread of retzius-sparing robotic prostatectomy: an update after 10 years.

PURPOSE OF REVIEW: Objective of our work is to provide an update of the state of the art concerning Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and to give a possible vision on the future developments of this new approach.

Nomogram Predicting Locally Advanced Prostate Cancer in Patients with Clinically Organ-Confined Disease Who Underwent Robot-Assisted Radical Prostatectomy: A Retrospective Multicenter Cohort Study in Japan (The MSUG94 Group).

PURPOSE: We created a clinically applicable nomogram to predict locally advanced prostate cancer using preoperative parameters and performed external validation using an external independent validation cohort.

Impact of modified bladder neck suspension on early recovery of continence after robot-assisted radical prostatectomy (RARP).

The incontinence after RARP significantly decreases the quality of life in prostate cancer patients. A number of techniques have been introduced for t...

Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study.

Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The pu...

Advanced age is an independent prognostic factor of disease progression in high-risk prostate cancer: results in 180 patients treated with robot-assisted radical prostatectomy and extended pelvic lymph node dissection in a tertiary referral center.

OBJECTIVES: This study aimed to assess more clinical and pathological factors associated with prostate cancer (PCa) progression in high-risk PCa patie...

Impact of Obstructive Sleep Apnea Syndrome on Time to Complete Recovery of Continence After Robot-Assisted Radical Prostatectomy: A Propensity Score Matching Analysis.

Postoperative urinary incontinence after robot-assisted radical prostatectomy (RARP) represents a bothersome side effect, which may permanently affec...

Potential and risks of artificial intelligence models: Common in medicine practice and special in pediatric urology.

Risk predictions of hospital-acquired pressure injury in the intensive care unit based on a machine learning algorithm.

Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains controversial in the medical world. Patients in i...

Quadrifecta outcomes and their predictors following robotic radical prostatectomy: a study of newly established robotic center in India.

Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three options for localized prostate cancer. Only a few st...

A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.

BACKGROUND: Acute kidney injury is a common postoperative complication affecting between 10% and 30% of surgical patients. Acute kidney injury is asso...

Genital Sparing Robot-Assisted Radical Cystectomy with Intracorporeal Neobladder & Paravaginal Repair.

OBJECTIVE: Vaginal prolapse is a known complication after radical cystectomy, requiring additional procedures in 10% of the patients. This results fro...

Robot-assisted partial nephrectomy for complex renal tumors: Analysis of a large multi-institutional database.

INTRODUCTION: Highly complex renal masses pose a challenge to urologic surgeons' ability to perform robotic partial nephrectomy (RPN). Given the incre...

Perioperative Outcome of Thulium Laser Enucleation of the Prostate versus Robot-Assisted Simple Prostatectomy: A Propensity Score-Matched Analysis.

INTRODUCTION: The aim of this study was to investigate and compare clinical safety and efficiency of Thulium laser enucleation of the prostate (ThuLEP...

Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study.

BACKGROUND: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quality assessment, visual evaluations by human readers...

Exploring the Applications of Indocyanine Green in Robot-Assisted Urological Surgery: A Comprehensive Review of Fluorescence-Guided Techniques.

This comprehensive review aims to explore the applications of indocyanine green (ICG) in robot-assisted urological surgery through a detailed examinat...

Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images.

Microscopic examination of prostate cancer has failed to reveal a reproducible association between molecular and morphologic features. However, deep-l...

Artificial intelligence applications in prostate cancer.

Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare delivery. These AI tools are often aimed to improve accur...

First case of robot-assisted radical cystectomy and intracorporeal neobladder reconstruction with the Hugo RAS system: step-by-step surgical setup and technique.

Robotic assisted radical cystectomy (RARC) is a standard option for the treatment of bladder cancer. Currently, novel platforms are entering the marke...

Construction of a neural network diagnostic model for renal fibrosis and investigation of immune infiltration characteristics.

BACKGROUND: Recently, the incidence rate of renal fibrosis has been increasing worldwide, greatly increasing the burden on society. However, the diagn...

Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach.

The convergence of artificial intelligence and the Internet of Things (IoT) has made remarkable strides in the realm of industry. In the context of AI...