Urology

Performance assessment of variant UNet-based deep-learning dose engines for MR-Linac-based prostate IMRT plans.

. UNet-based deep-learning (DL) architectures are promising dose engines for traditional linear accelerator (Linac) models. Current UNet-based engines, however, were designed differently with various strategies, making it challenging to fairly compare the results from different studies. The objective of this study is to thoroughly evaluate the performance of UNet-based models on magnetic-resonance...

Robotic Surgery in Urology: History from PROBOT to HUGO.

The advent of robotic surgical systems had a significant impact on every surgical area, especially urology, gynecology, and general and cardiac surgery. The aim of this article is to delineate robotic surgery, particularly focusing on its historical background, its evolution, its present status, and its future perspectives. A comprehensive literature review was conducted upon PubMed/MEDLINE, using...

Editorial Comment to Retrospective evaluation of the improvement in the urinary status-related quality of life after robot-assisted radical prostatectomy.

Improving domain generalization performance for medical image segmentation via random feature augmentation.

Deep convolutional neural networks (DCNNs) have shown remarkable performance in medical image segmentation tasks. However, medical images frequently e...

Robot-assisted pelvic and renal surgery compared with laparoscopic or open surgery: Literature review of cost-effectiveness and clinical outcomes.

BACKGROUND AND AIM: The purpose of this study was to evaluate clinical experiences and cost-effectiveness by comparing robot-assisted surgery with lap...

Vesicourethral Anastomosis in Transvesical Single-Port Robotic Radical Prostatectomy: A Technical Description and Perioperative Outcomes.

To describe the technical evolution and perioperative outcomes of vesicourethral anastomosis (VUA) in transvesical (TV) single-port robot-assisted ra...

Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery.

BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that results in short- and long-term mortality among pati...

Can dexamethasone improve postoperative sleep and postoperative delirium in elderly patients undergoing robot-assisted laparoscopic radical prostatectomy? Protocol for a prospective, randomized, double-blind, controlled study.

BACKGROUND: Perioperative sleep disorders (PSD) are an independent risk factor for postoperative delirium (POD), which is a common complication after ...

A two-step deep learning method for 3DCT-2DUS kidney registration during breathing.

This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which comprises a feature net...

Self-removal of catheter after robot-assisted radical prostatectomy: a feasibility study.

Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has never been explored in literature. We report the f...

Tumor detection under cystoscopy with transformer-augmented deep learning algorithm.

Accurate tumor detection is critical in cystoscopy to improve bladder cancer resection and decrease recurrence. Advanced deep learning algorithms hold...

Robot-assisted radical cystectomy vs open radical cystectomy in patients with bladder cancer: a systematic review and meta-analysis of randomized controlled trials.

PURPOSE: Even though there isn't enough clinical evidence to demonstrate that robot-assisted radical cystectomy (RARC) is preferable to open radical c...

Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images.

Machine learning applied to digital pathology has been increasingly used to assess kidney function and diagnose the underlying cause of chronic kidney...

Open versus robot-assisted radical cystectomy: pentafecta and trifecta achievement comparison from a randomised controlled trial.

OBJECTIVES: To compare University of Southern California (USC) Institute of Urology pentafecta and trifecta achievement comparing open radical cystect...

Editorial for "The Effect of Image Resampling on the Performance of Radiomics-Based Artificial Intelligence in Multicenter Prostate MRI".

Non-invasive Characterization of Glycosuria and Identification of Biomarkers in Diabetic Urine Using Fluorescence Spectroscopy and Machine Learning Algorithm.

The current study presents a steadfast, simple, and efficient approach for the non-invasive determination of glycosuria of diabetes mellitus using flu...

Artificial intelligence-assisted repurposing of lubiprostone alleviates tubulointerstitial fibrosis.

Tubulointerstitial fibrosis (TIF) is the most prominent cause which leads to chronic kidney disease (CKD) and end-stage renal failure. Despite extensi...

The utility of the ChatGPT artificial intelligence tool for patient education and enquiry in robotic radical prostatectomy.

OBJECTIVES: To assess the ChatGPT (Open AI) artificial intelligence platform's utility and accuracy as a patient education tool in robotic-assisted ra...

Evaluation of sexual function after robot-assisted radical prostatectomy: A farewell to IIEF questionnaire.

Longevity with localized prostate cancer (PCa) has been achieved, and the contribution of robot-assisted radical prostatectomy (RARP) to cancer contro...

Generalizability of prostate MRI deep learning: does one size fit all data?