Urology

Perioperative, renal function and oncological outcomes of robot-assisted radical nephroureterectomy for patients with upper tract urothelial carcinoma.

PURPOSE: To report perioperative, renal function and oncological outcomes of robot-assisted radical ...

Performance of deep learning for detection of chronic kidney disease from retinal fundus photographs: A systematic review and meta-analysis.

OBJECTIVE: Deep learning has been used to detect chronic kidney disease (CKD) from retinal fundus ph...

A robot-assisted laparoscopic revision of an artificial urinary sphincter in a patient with spinal cord injury.

This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bla...

Development and external validation of the multichannel deep learning model based on unenhanced CT for differentiating fat-poor angiomyolipoma from renal cell carcinoma: a two-center retrospective study.

PURPOSE: There are undetectable levels of fat in fat-poor angiomyolipoma. Thus, it is often misdiagn...

Extraperitoneal robot-assisted radical prostatectomy with the Hugo™ RAS system: initial experience of a tertiary center with a high background in extraperitoneal laparoscopy surgery.

PURPOSE: The Hugo™ RAS system is a novel robotic platform with innovative features. However, there a...

Comparison of four synthetic CT generators for brain and prostate MR-only workflow in radiotherapy.

BACKGROUND: The interest in MR-only workflows is growing with the introduction of artificial intelli...

Robot-assisted PSMA-radioguided Surgery to Assess Surgical Margins and Nodal Metastases in Prostate Cancer Patients: Report on Three Cases Using an Intraoperative PET-CT Specimen Imager.

INTRODUCTION: The aim of this feasibility study was to test the intraoperative use of this brand-new...

PSMA-PET improves deep learning-based automated CT kidney segmentation.

UNLABELLED: For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume ...

Bilateral subgaleal hematoma after a robot-assisted radical prostatectomy: an uncommon complication.

Robot-assisted radical prostatectomy is a relatively recent technique. Its advantages include less i...

The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics.

The application of artificial intelligence (AI) on prostate magnetic resonance imaging (MRI) has sho...

A matched-analysis on short-term and long-term (up to 5 years of follow-up) urinary incontinence outcomes after robot-assisted radical prostatectomy with and without anterior and posterior reconstruction: data on 1358 patients.

PURPOSE: We report a comparative monocentric study with a short and long-term follow-up with the aim...

Urinary continence in high-risk prostate cancer after robot-assisted radical prostatectomy.

PURPOSE OF REVIEW: Urinary incontinence is common postoperative complication following robot-assiste...

Elderly Patients' Outcomes After Robot-Assisted Radical Prostatectomy: A Single Center Experience.

To assess the oncological and functional outcomes of patients aged 70 years or older after robot-as...

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.

Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogen...

Construction of enhanced CT radiomics model for noninvasive prediction of CXCL13's expression and immune infiltrates in bladder cancer based on logistic regression and support vector machine algorithm.

A robotic approach to clamshell augmentation enterocystoplasty.

Augmentation cystoplasty (AC) is a well-established surgical option for the management of overactive...

Ultrasound Frame-to-Volume Registration via Deep Learning for Interventional Guidance.

Fusing intraoperative 2-D ultrasound (US) frames with preoperative 3-D magnetic resonance (MR) image...

Role of puboperinealis and rectourethralis muscles as a urethral support system to maintain urinary continence after robot-assisted radical prostatectomy.

The present study investigated the role of a urethral support system to maintain urinary continence ...

Editorial for "Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective Study".

Shortening image registration time using a deep neural network for patient positional verification in radiotherapy.

We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep ...

scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets.

Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important ...