Urology

ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.

Increasing the information depth of single kidney biopsies can improve diagnostic precision, personalized medicine and accelerate basic kidney research. Until now, information on mRNA abundance and morphologic analysis has been obtained from different samples, missing out on the spatial context and single-cell correlation of findings. Herein, we present scoMorphoFISH, a modular toolbox to obtain s...

Retzius-Sparing Robot-Assisted Radical Prostatectomy.

The technique of Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and initial experience with it at a single center are provided. The technique is described step-by-step and further illustrated by a video to enhance reproducibility. Early oncological and functional results were evaluated. In total, 77 patients were included with a median follow-up of 11 months (range: 3-21 months). F...

Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines.

This article presents a new deep cross-output knowledge transfer approach based on least-squares support vector machines, called DCOT-LS-SVMs. Its aim...

Robot-Assisted Radical Prostatectomy Using the KangDuo Surgical Robot-01 System: A Prospective, Single-Center, Single-Arm Clinical Study.

PURPOSE: Our goal was to evaluate the feasibility, safety and effectiveness of the KangDuo Surgical Robot-01 (KD-SR-01) system for robot-assisted radi...

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care.

Smart medical uses the medical information platform and the current technological means to enable the process of sharing information between medical s...

Developing Acute Event Risk Profiles for Older Adults with Dementia in Long-Term Care Using Motor Behavior Clusters Derived from Deep Learning.

OBJECTIVES: This paper uses deep (machine) learning techniques to develop and test how motor behaviors, derived from location and movement sensor trac...

Defining the Morbidity of Robot-Assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Adoption of the Comprehensive Complication Index.

The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade. It is thus of limited value for radical cystecto...

A new technique for robotic lateral pelvic lymph node dissection for advanced low rectal cancer with emphasis on en bloc resection and inferior vesical vessel preservation.

BACKGROUND: Lateral pelvic lymph node (LPLN) dissection is becoming increasingly important in the treatment of advanced low rectal cancer patients. Ho...

Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.

BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Injury (AKI), which could have a negative impact on su...

Effects of sevoflurane versus propofol on cerebral autoregulation during anaesthesia for robot-assisted laparoscopic prostatectomy.

Robot-assisted laparoscopic prostatectomy requires a pneumoperitoneum combined with steep Trendelenburg positioning, and these conditions can be assoc...

Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine.

We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM), using the extreme learning machine (ELM). We use...

Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification.

Recently, bioinformatics and computational biology-enabled applications such as gene expression analysis, cellular restoration, medical image processi...

[Successful laparoscopic robot-assisted surgical treatment of bilateral ureterosciatic hernias (Lindbom's hernia) and pelvic kidney].

Ureterosciaic hernia is a rarely described pathology that represents a diagnostic and therapeutic challenge for the treating physician. In this case r...

Pelvic reconstruction and lateral prostate capsule sparing techniques improve early continence of robot-assisted radical cystectomy with orthotopic ileal neobladder.

PURPOSE: To evaluate urinary outcomes of pelvic construction and lateral capsule sparing techniques in robot-assisted radical cystectomy with orthotop...

Learning curve for robot-assisted laparoscopic radical prostatectomy in a large prospective multicentre study.

OBJECTIVE: Differences in outcome after radical prostatectomy for prostate cancer can partly be explained by intersurgeon differences, where degree of...

Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.

BACKGROUND AND OBJECTIVE: Aim of nephrologists is to delay the outcome and reduce the number of patients undergoing renal failure (RF) by applying pre...

A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images.

Previously, doctors interpreted computed tomography (CT) images based on their experience in diagnosing kidney diseases. However, with the rapid incre...

Cost-utility analysis on robot-assisted and laparoscopic prostatectomy based on long-term functional outcomes.

Robot-Assisted Radical Prostatectomy (RARP) is one of the standard treatment options for prostate cancer. However, controversy still exists on its add...

Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy.

Next generation online and real-time adaptive radiotherapy workflows require precise particle transport simulations in sub-second times, which is unfe...

Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network.

BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground ...