Urology

MAGPEL: an autoMated pipeline for inferring vAriant-driven Gene PanEls from the full-length biomedical literature.

In spite of the efforts in developing and maintaining accurate variant databases, a large number of ...

: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer.

Hand-crafted radiomics has been used for developing models in order to predict time-to-event clinica...

Development and Validation of a Deep-learning Model to Assist With Renal Cell Carcinoma Histopathologic Interpretation.

OBJECTIVE: To develop and test the ability of a convolutional neural network (CNN) to accurately ide...

A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy.

PURPOSE: This paper addresses the detection of the clinical target volume (CTV) in transrectal ultra...

Reply to Francesco Montorsi, Marco Bandini, Alberto Briganti, et al. Re-establishing the Role of Robot-assisted Radical Cystectomy After the 2020 EAU Muscle-invasive and Metastatic Bladder Cancer Guideline Panel Recommendations. Eur Urol 2020;78:489-91: Can Open and Robotic Radical Cystectomy be Considered Equally Effective in 2020?

Editorial Comment to Obese men undergoing radical prostatectomy: Is robotic or retropubic better to limit positive surgical margins? Results from SEARCH.

Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer.

PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a on...

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.

OBJECTIVES: To analyze the performance of radiological assessment categories and quantitative comput...

Radiomics and Artificial Intelligence for Renal Mass Characterization.

Radiomics allows for high throughput extraction of quantitative data from images. This is an area of...

Deep learning applications in automatic needle segmentation in ultrasound-guided prostate brachytherapy.

PURPOSE: High-Dose-Rate (HDR) brachytherapy is one of the most effective ways to treat the prostate ...

Robot-Assisted Laparoscopic Partial Nephrectomy Conventional Laparoscopic Partial Nephrectomy: Functional and Surgical Outcomes of a Prospective Single Surgeon Randomized Study.

Laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) are commonly u...

Semantic segmentation to identify bladder layers from H&E Images.

BACKGROUND: Identification of bladder layers is a necessary prerequisite to bladder cancer diagnosis...

Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study.

Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pa...

Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study.

Missing observations are always a challenging problem that we have to deal with in diseases that req...

The use of surrounding rock loosening circle theory combined with elastic-plastic mechanics calculation method and depth learning in roadway support.

The objective is to study the design method of roadway support and provide technical support for coa...

Kidney segmentation from computed tomography images using deep neural network.

BACKGROUND: The precise segmentation of kidneys and kidney tumors can help medical specialists to di...

UFO: A tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization.

BACKGROUND: Biomedical ontologies have been growing quickly and proven to be useful in many biomedic...

The benefit of prehabilitation and enhanced recovery in robot-assisted radical prostatectomy and the promising future of these protocols in the field of urologic oncology.

Impact of indocyanine green-guided extended pelvic lymph node dissection during robot-assisted radical prostatectomy.

OBJECTIVES: To evaluate the effectiveness of indocyanine green-guided extended pelvic lymph node dis...

Benefits of robotic cystectomy compared with open cystectomy in an Enhanced Recovery After Surgery program: A propensity-matched analysis.

OBJECTIVES: To compare the perioperative and oncological outcomes between robot-assisted radical cys...

Identification of glomerular lesions and intrinsic glomerular cell types in kidney diseases via deep learning.

Identification of glomerular lesions and structures is a key point for pathological diagnosis, treat...