Urology

A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation.

OBJECTIVE: Despite efforts to improve screening and early detection of prostate cancer (PC), no available biomarker has shown acceptable performance in patients with prostate-specific antigen (PSA) gray zones. We aimed to develop a deep learning-based prediction model with minimized parameters and missing value handling algorithms for PC and clinically significant PC (CSPC).

Redo Robotic Partial Nephrectomy for Recurrent Renal Tumors: A Multi-Institutional Analysis.

As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expanded to incorporate previously operated ipsilateral kidneys with recurrent renal masses. We sought to analyze the outcomes of redo RAPN in patients with a recurrent renal mass. Using a multi-institutional series, the data of 72 patients who underwent RAPN for a recurrent renal mass between 2010 and 2...

Single-Port Robotic Radical Prostatectomy: Short-Term Outcomes and Learning Curve.

In 2018, the U.S. Food and Drug Administration approved the da Vinci single-port (SP) system, in which four instruments are still utilized, but enter...

Identification of Patients With Metastatic Prostate Cancer With Natural Language Processing and Machine Learning.

PURPOSE: Understanding treatment patterns and effectiveness for patients with metastatic prostate cancer (mPCa) is dependent on accurate assessment of...

[Comparison of Perioperative Outcomes between Open and Robot-Assisted Laparoscopic Radical Cystectomy].

We compared the perioperative outcomes of open (ORC) and robot-assisted laparoscopic radical cystectomy (RARC) for patients with bladder cancer. We re...

ANESTHESIA FOR ROBOT-ASSISTED RADICAL PROSTATECTOMY - A CHALLENGE FOR ANAESTHESIOLOGIST.

Mininimally invasive surgery has become one of the most popular ones over the last few decades due to many benefits. The advantages are minimal surgic...

Prostate Cancer Risk Prediction and Online Calculation Based on Machine Learning Algorithm.

Objective To build a prostate cancer (PCa) risk prediction model based on common clinical indicators to provide a theoretical basis for the diagnosis ...

Abdomen tissues segmentation from computed tomography images using deep learning and level set methods.

Accurate abdomen tissues segmentation is one of the crucial tasks in radiation therapy planning of related diseases. However, abdomen tissues segmenta...

Adenosine Triphosphate Protects from Elevated Extracellular Calcium-Induced Damage in Human Proximal Kidney Cells: Using Deep Learning to Predict Cytotoxicity.

BACKGROUND/AIMS: In kidney, extracellular [Ca] can modulate intracellular [Ca] to control key cellular processes. Hence, extracellular [Ca] is normall...

Pilot study of an artificial intelligence-based deep learning algorithm to predict time to castration-resistant prostate cancer for metastatic hormone-naïve prostate cancer.

The object in this study is to develop an artificial intelligence-based deep learning algorithm for prediction of time to castration-resistant prostat...

[Robotic surgery used in urology].

Robotic surgery has been used in urology for more than two decades. It is a minimally invasive procedure with less morbidity, mortality and length of ...

Long-Term Outcome of Non-antireflux Robotic-Assisted Robot-Assisted Laparoscopic Ureter Reimplantation in Ureteral Obstruction.

Although robot-assisted laparoscopic ureter reimplantation (RALUR) is a recognized alternative to open and laparoscopic ureter reimplantation in trea...

[Early urethral catheter removal after robot-assisted radical prostatectomy].

BACKGROUND: Robot-assisted radical prostatectomy (RARP) is a widely used treatment method for patients with clinically localized prostate cancer. Post...

[Comparative analysis of robot-assisted and open radical cystectomy with orthotopic urinary diversion].

INTRODUCTION: Robot-assisted radical cystectomy (RARC) with intracorporeal orthotopic neobladder creation is a complex surgical procedure, which is gr...

Robotic Kidney Transplantation Under Regional Hypothermia.

The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described. It may be performed in all patients requiring kid...

Detailed Description of the Karolinska Technique for Intracorporeal Studer Neobladder Reconstruction.

In the last two decades, surgical techniques for intracorporeal urinary diversion have been developed with the aim of reducing surgical morbidity. Alt...

Single-Port Robotic Surgery: General Principles and Troubleshooting.

The da Vinci single-port (SP) system (Intuitive Surgical, Sunnyvale, CA) is the newest robotic platform released and approved for use in the urologist...

Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.

Machine learning is the field of artificial intelligence in which computers are trained to make predictions or to identify patterns in data through co...

Bayesian network analysis of long-term oncologic outcomes of open, laparoscopic, and robot-assisted radical cystectomy for bladder cancer.

BACKGROUND: To understand the long-term oncologic outcomes of open radical cystectomy (ORC) versus laparoscopic radical cystectomy (LRC) versus robot-...

Robot-assisted anatrophic nephrolithotomy for complete staghorn stone.

To assess the efficacy and safety of robot-assisted anatrophic nephrolithotomy (RANL) as a choice of minimally invasive treatment for patients with co...