Urology

Re: Retzius-Sparing Robot-Assisted Radical Prostatectomy vs the Standard Approach: A Systematic Review and Analysis of Comparative Outcomes.

Comment on "Deep learning computer vision algorithm for detecting kidney stone composition".

Machine learning, the kidney, and genotype-phenotype analysis.

With biomedical research transitioning into data-rich science, machine learning provides a powerful ...

A convolution neural network for higher resolution dose prediction in prostate volumetric modulated arc therapy.

PURPOSE: This study aims to investigate the feasibility of using convolutional neural networks to pr...

Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach.

BACKGROUND AND OBJECTIVES: Diagnosis and early intervention of chronic kidney disease are essential ...

Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma.

UNLABELLED: Pretreatment determination of renal cell carcinoma aggressiveness may help to guide clin...

Segmentation of prostate and prostate zones using deep learning : A multi-MRI vendor analysis.

PURPOSE: Develop a deep-learning-based segmentation algorithm for prostate and its peripheral zone (...

Comparison of Robot-Assisted and Laparoscopic Partial Nephrectomy for Completely Endophytic Renal Tumors: A High-Volume Center Experience.

To compare the perioperative, functional, and oncologic outcomes of robot-assisted partial nephrect...

Automated detection algorithm for C4d immunostaining showed comparable diagnostic performance to pathologists in renal allograft biopsy.

A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology w...

Robot-Assisted Radical Prostatectomy Associated with Decreased Persistent Postoperative Opioid Use.

Minimally invasive surgery offers reduced pain and opioid use postoperatively compared with open su...

Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?

Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radic...

Robot-Assisted Laparoscopic Urachal Excision Using Hidden Incision Endoscopic Surgery Technique in Pediatric Patients.

Although laparoscopic urachal excision in children has been well reported, there are limited data o...

Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula.

The purposes of this study were to assess the performance of a 3D convolutional neural network (CNN...

Optimizing the Financial Burden of the Approach to Robot-Assisted Radical Prostatectomy.

The robot-assisted approach to radical prostatectomy (RARP) has been adopted worldwide as an accept...

A Systematic Review and Meta-Analysis of Pelvic Drain Insertion After Robot-Assisted Radical Prostatectomy.

To perform a systematic review and meta-analysis and to assess the clinical benefit of prophylactic...

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.

PURPOSE: To identify optimal classification methods for computed tomography (CT) radiomics-based pre...

Evaluation of Glomerular Filtration Rate in Chronic Kidney Disease by Radial Basis Function Neural Network.

OBJECTIVE: To develop a radial basis function (RBF) neural network and investigate its performance i...

A neural network approach for real-time particle/cell characterization in microfluidic impedance cytometry.

Microfluidic applications such as active particle sorting or selective enrichment require particle c...

Retzius-sparing Robotic Radical Prostatectomy for Surgeons in the Learning Curve: A Propensity Score-matching Analysis.

BACKGROUND: Several authors claimed that the Retzius-sparing robot-assisted radical prostatectomy (R...

Artificial Intelligence - Changing the Field of Prostate Cancer?

Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning.

Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate progno...