Urology

Utilizing machine learning to discern hidden clinical values from big data in urology.

Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations.

PURPOSE: Urological oncologists have difficulty providing optimal personalized care due to rapid alt...

High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach.

OBJECTIVE: To assess if adding perfusion information from dynamic contrast-enhanced (DCE MRI) acquis...

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

Modern survey methods may be subject to non-observable bias, from various sources. Among online surv...

Error detection using a convolutional neural network with dose difference maps in patient-specific quality assurance for volumetric modulated arc therapy.

The aim of this study was to evaluate the use of dose difference maps with a convolutional neural ne...

Stepwise Description and Outcomes of Bladder Neck Sparing Robot-Assisted Simple Prostatectomy.

To present a stepwise description and outcomes of bladder neck sparing (BNS) robot-assisted simple ...

Conventional vs machine learning-based treatment planning in prostate brachytherapy: Results of a Phase I randomized controlled trial.

PURPOSE: The purpose of this study was to evaluate the noninferiority of Day 30 dosimetry between a ...

Re: Andrea Gallioli, Angelo Territo, Romain Boissier, et al. Learning Curve in Robotic-assisted Kidney Transplantation: Results from the European Robotic Urological Society Working Group. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.12.008.

Surgical details and renal function change after robot-assisted partial nephrectomy.

OBJECTIVES: To investigate whether differences in surgical details during robot-assisted partial nep...

Closing the Gap between Prostate Cancer and Deep Learning Detection Tools.

Contemporary Rates and Predictors of Open Conversion During Minimally Invasive Radical Prostatectomy for Nonmetastatic Prostate Cancer.

To test contemporary rates and predictors of open conversion at minimally invasive (laparoscopic or...

MEDICASCY: A Machine Learning Approach for Predicting Small-Molecule Drug Side Effects, Indications, Efficacy, and Modes of Action.

To improve the drug discovery yield, a method which is implemented at the beginning of drug discover...

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.

Cancer classification is a topic of major interest in medicine since it allows accurate and efficien...

Risk of hernia formation after radical prostatectomy: a comparison between open and robot-assisted laparoscopic radical prostatectomy within the prospectively controlled LAPPRO trial.

PURPOSE: In addition to incisional hernia, inguinal hernia is a recognized complication to radical r...

Reply to Jinna Yao, Henry C.C. Pleass, and Howard M.H. Lau's Letter to the Editor re: Andrea Gallioli, Angelo Territo, Romain Boissier, et al. Learning Curve in Robot-assisted Kidney Transplantation: Results from the European Robotic Urological Society Working Group. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.12.008.

Automated Detection and Grading of Non-Muscle-Invasive Urothelial Cell Carcinoma of the Bladder.

Accurate grading of non-muscle-invasive urothelial cell carcinoma is of major importance; however, h...

Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The am...

Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.

PURPOSE: Needle-based procedures for diagnosing and treating prostate cancer, such as biopsy and bra...

DeepDose: Towards a fast dose calculation engine for radiation therapy using deep learning.

We present DeepDose, a deep learning framework for fast dose calculations in radiation therapy. Give...

Role of Artificial Intelligence in Kidney Disease.

Artificial intelligence (AI), as an advanced science technology, has been widely used in medical fie...

Re: Comparison of Outcomes of Salvage Robot-Assisted Laparoscopic Prostatectomy for Post-Primary Radiation vs Focal Therapy.