Urology

Comparison of robot-assisted partial nephrectomy for complex (RENAL scores ≥10) and non-complex renal tumors: A single-center experience.

OBJECTIVES: To compare functional and surgical outcomes of robot-assisted partial nephrectomy for co...

Research progress and development trend of surgical robot and surgical instrument arm.

BACKGROUND: In recent years, surgical robots have become an indispensable part of the medical field....

Robot-assisted Kidney Transplantation.

This paper describes robot-assisted kidney transplantation (RAKT) from a living donor. The robot is ...

[Robotics in otorhinolaryngology, head and neck surgery].

In many surgical specialities, e.g., visceral surgery or urology, the use of robotic assistance is w...

Systematic Quantification of Sources of Variation in Ejection Fraction Calculation Using Deep Learning.

Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.

Convolutional neural networks (CNNs) are state-of-the-art computer vision techniques for various tas...

Robotics and future technical developments in pediatric urology.

Minimally invasive surgery (MIS) has represented the main innovation in the field of pediatric surge...

High through-plane resolution CT imaging with self-supervised deep learning.

CT images for radiotherapy planning are usually acquired in thick slices to reduce the imaging dose,...

Outcomes of robot-assisted urinary sphincter implantation for male neurogenic urinary incontinence.

OBJECTIVES: To report the functional outcomes of robot-assisted laparoscopic artificial urinary sphi...

[MRI-guided minimally invasive treatment of prostate cancer].

CLINICAL/METHODOLOGICAL ISSUE: Multiparametric magnetic resonance imaging (mpMRI) of the prostate pl...

A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks.

Data augmentation refers to a group of techniques whose goal is to battle limited amount of availabl...

Prediction of Incident Atrial Fibrillation in Chronic Kidney Disease: The Chronic Renal Insufficiency Cohort Study.

BACKGROUND AND OBJECTIVES: Atrial fibrillation (AF) is common in CKD and associated with poor kidney...

Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method.

PURPOSE: Aim of this study was to evaluate a fully automated deep learning network named Efficient N...

Automatic left ventricle volume calculation with explainability through a deep learning weak-supervision methodology.

BACKGROUND AND OBJECTIVE: Magnetic resonance imaging is the most reliable imaging technique to asses...

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.

BACKGROUND AND OBJECTIVES: Deep learning is being increasingly used for deformable image registratio...

An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation.

Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...

Dual-Organ Transcriptomic Analysis of Rainbow Trout Infected With Through Co-Expression and Machine Learning.

is a major pathogen that causes a high mortality rate in trout farms. However, systemic responses t...

Evaluation of pediatric hydronephrosis using deep learning quantification of fluid-to-kidney-area ratio by ultrasonography.

PURPOSE: Hydronephrosis is the dilation of the pelvicalyceal system due to the urine flow obstructio...

A comparative study of perioperative and survival outcomes of robot-assisted radical cystectomy in patients over 80 and under 80 years old.

BACKGROUND: Radical cystectomy (RC) is the standard treatment for bladder cancer, but the safety and...

Comparison of parenchymal volume loss assessed by three-dimensional computed tomography volumetry and renal functional recovery between conventional and robot-assisted laparoscopic partial nephrectomy.

OBJECTIVES: We retrospectively investigated if robot-assisted laparoscopic partial nephrectomy (RAPN...

Machine learning algorithms can more efficiently predict biochemical recurrence after robot-assisted radical prostatectomy.

OBJECTIVES: To develop a model for predicting biochemical recurrence (BCR) in patients with long fol...