Urology

3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.

Accurate and reliable segmentation of the prostate gland using magnetic resonance (MR) imaging has c...

Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).

BACKGROUND AND PURPOSE: To investigate a novel markerless prostate localization strategy using a pre...

Machine learning for differentiating metastatic and completely responded sclerotic bone lesion in prostate cancer: a retrospective radiomics study.

OBJECTIVE: Using CT texture analysis and machine learning methods, this study aims to distinguish th...

Editorial Comment to Three-dimensional digital reconstruction of renal model to guide preoperative planning of robot-assisted partial nephrectomy.

Editorial Comment to Robot-assisted single-port radical prostatectomy: A phase 1 clinical study.

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization.

PURPOSE: To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason...

Waterjet Ablation Therapy for Treating Benign Prostatic Obstruction in Patients with Small- to Medium-size Glands: 12-month Results of the First French Aquablation Clinical Registry.

BACKGROUND: Aquablation has emerged as a novel ablative therapy combining image guidance and robotic...

An integrated model using the Taguchi method and artificial neural network to improve artificial kidney solidification parameters.

BACKGROUND: Hemodialysis mainly relies on the "artificial kidney," which plays a very important role...

Fibroblast growth factor 23 and tubular sodium handling in young patients with incipient chronic kidney disease.

BACKGROUND: Experimental studies have shown fibroblast growth factor 23 FGF23)-mediated upregulation...

In-Bore Transrectal MRI-Guided Biopsy With Robotic Assistance in the Diagnosis of Prostate Cancer: An Analysis of 57 Patients.

The objective of our study was to analyze the feasibility and potential role of robotic-assisted tr...

Attention-enabled 3D boosted convolutional neural networks for semantic CT segmentation using deep supervision.

A deeply supervised attention-enabled boosted convolutional neural network (DAB-CNN) is presented as...

Changes in clinical indicators related to the transition from dialysis to kidney transplantation-data from the ERA-EDTA Registry.

BACKGROUND: Kidney transplantation should improve abnormalities that are common during dialysis trea...

[Renal graft survival in patients transplanted from organs of deceased donors].

BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency ...

Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer.

This study aims to introduce as proof of concept a combination model for classification of prostate ...

A Radical Proposition: Opioid-sparing Prostatectomy.

Radical prostatectomy has largely become a procedure requiring a single day in the hospital with imp...

Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.

BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial ...

Automatic gas detection in prostate cancer patients during image-guided radiation therapy using a deep convolutional neural network.

PURPOSE: The detection of intestinal/rectal gas is very important during image-guided radiation ther...

Recognition of early and late stages of bladder cancer using metabolites and machine learning.

INTRODUCTION: Bladder cancer (BCa) is one of the most common and aggressive cancers. It is the sixth...

Incorporating dosimetric features into the prediction of 3D VMAT dose distributions using deep convolutional neural network.

An accurate prediction of achievable dose distribution on a patient specific basis would greatly imp...

Detection and Classification of Novel Renal Histologic Phenotypes Using Deep Neural Networks.

With the advent and increased accessibility of deep neural networks (DNNs), complex properties of hi...

Effects of early high-dose erythropoietin on acute kidney injury following cardiac arrest: exploratory analyses from an open-label randomized trial.

BACKGROUND: Acute kidney injury (AKI) is frequent in patients resuscitated from cardiac arrest (CA) ...