Urology

Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.

OBJECTIVE: To present a deep learning-based approach for semi-automatic prostate cancer classificati...

A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pe...

Caveolae and scaffold detection from single molecule localization microscopy data using deep learning.

Caveolae are plasma membrane invaginations whose formation requires caveolin-1 (Cav1), the adaptor p...

Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose d...

Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.

BACKGROUND: A substantial proportion of microbiological screening in diagnostic laboratories is due ...

Adaptive Resonance Theory in the time scales calculus.

Engineering applications of algorithms based on Adaptive Resonance Theory have proven to be fast, re...

Reaction-Based Enumeration, Active Learning, and Free Energy Calculations To Rapidly Explore Synthetically Tractable Chemical Space and Optimize Potency of Cyclin-Dependent Kinase 2 Inhibitors.

The hit-to-lead and lead optimization processes usually involve the design, synthesis, and profiling...

Hospital readmissions after limited vs. extended lymph node dissection during open and robot-assisted radical prostatectomy.

PURPOSE: Differences exist concerning when and how to perform lymph node dissection (LND) during rad...

A Cancer Survival Prediction Method Based on Graph Convolutional Network.

BACKGROUND AND OBJECTIVE: Cancer, as the most challenging part in the human disease history, has alw...

Learning to detect lymphocytes in immunohistochemistry with deep learning.

The immune system is of critical importance in the development of cancer. The evasion of destruction...

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.

This paper presents a new approach for precisely estimating the renal vascular dominant region using...

Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation.

Automatic segmentation of prostate magnetic resonance (MR) images has great significance for the dia...

A self-supervised strategy for fully automatic segmentation of renal dynamic contrast-enhanced magnetic resonance images.

PURPOSE: An automated accurate segmentation for dynamic contrast-enhanced magnetic resonance (DCE-MR...

Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictor.

BACKGROUND: Early diagnosis of acute kidney injury (AKI) is a major challenge in the intensive care ...

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a...

Re: Lorenzo Marconi, Thomas Stonier, Rafael Tourinho-Barbosa, et al. Robot-assisted Radical Prostatectomy After Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence. Eur Urol 2019;76:27-30: Morphologic Documentation from Didactic Cases of Large-format Histology.

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.

Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful informatio...

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis.

The microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer...

Re: Robot-Assisted AMS-800 Artificial Urinary Sphincter Bladder Neck Implantation in Female Patients with Stress Urinary Incontinence.

Initial dosing of intermittent vancomycin in adults: estimation of dosing interval in relation to dose and renal function.

OBJECTIVES: Due to the high interindividual variability in vancomycin pharmacokinetics, optimisation...

Machine learning applications in prostate cancer magnetic resonance imaging.

With this review, we aimed to provide a synopsis of recently proposed applications of machine learni...