Latest AI and machine learning research in urology for healthcare professionals.
UNLABELLED: Intratumoral heterogeneity arising from tumor evolution poses significant challenges biologically and clinically. Dissecting this complexity may benefit from deep learning (DL) algorithms, which can infer molecular features from ubiquitous hematoxylin and eosin (H&E)-stained tissue sections. Although DL algorithms have been developed to predict some driver mutations from H&E images, th...
Despite the crucial role of phenotypic and genetic intratumoral heterogeneity in understanding and predicting clinical outcomes for patients with cancer, computational pathology studies have yet to make substantial steps in this area. The major limiting factor has been the bulk gene-sequencing practice that results in loss of spatial information of gene status, making the study of intratumoral het...
The Retzius-sparing (RS) approach represents an important surgical innovation in how robot-assisted laparoscopic prostatectomy (RALP) is performed. T...
Robot-assisted simple prostatectomy (RASP) has emerged as a safe surgical treatment for patients with benign prostatic hyperplasia with large glands ...
Fast evolution of modern society stimulates intense development of new materials with novel functionalities in energy and environmental applications. ...
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to mi...
Recently, robot-assisted laparoscopic partial nephrectomy (RAPN) has become a commonly performed surgical treatment for small renal tumors, but for di...
Reverberant Shear Wave Elastography (RSWE) is an ultrasound elastography technique that offers great advantages, however, current estimators generate ...
Ultrasound (US) is a medical imaging modality widely used for diagnosis, monitoring, and guidance of surgical procedures. However, the accurate interp...
IMPORTANCE: Robot-assisted radical cystectomy is being performed with increasing frequency, but it is unclear whether total intracorporeal surgery imp...
In transperitoneal robot-assisted partial nephrectomy (RAPN), an L score of 3 points according to the RENAL nephrometry scoring system does not neces...
BACKGROUND/AIM: To analyze the effects of laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) for the treatment of re...
OBJECTIVE: To observe the recovery of urinary continence through postoperative rehabilitation training after robot-assisted laparoscopic radical prost...
The patient was an 82-year-old woman with localized muscle-invasive bladder cancer, who underwent robot-assisted radical cystectomy and cutaneous uret...
INTRODUCTION: To evlauate role of peritoneal re-approximation methods in the prevention of symphtomatic lymphocele formation in patients underwent tra...
Prostate cancer (PCa) is one of the most prevalent cancers in the male population. Current clinical practices lead to overdiagnosis and overtreatment ...
Artificial Intelligence (AI) technologies are increasingly being used to enhance kidney transplant outcomes. In this review, we explore the use of AI ...
Successful resection of all visible lesions may effectively treat endometriosis-related infertility and pelvic pain. Minimally invasive surgery provid...
The aim of this study was to compare the perioperative outcomes of patients who underwent single-port (SP) robot-assisted radical prostatectomy (RARP...