Urology

Digital Biopsy with Fluorescence Confocal Microscope for Effective Real-time Diagnosis of Prostate Cancer: A Prospective, Comparative Study.

BACKGROUND: A microscopic analysis of tissue is the gold standard for cancer detection. Hematoxylin-...

Re: Oncological outcome according to attainment of pentafecta after robot-assisted radical cystectomy in patients with bladder cancer in the multicentre KORARC database. BJU Int 2020 July 18. DOI: 10.1111/ bju.15178.

Early Projection of Kidney Allograft Rejection Through Deep Learning: A Way Forward.

Urological and sexual function after robotic and laparoscopic surgery for rectal cancer: A systematic review, meta-analysis and meta-regression.

BACKGROUND: This systematic review sought to compare the urogenital functions after laparoscopic (LA...

The Emerging Role of Artificial Intelligence in the Fight Against COVID-19.

The coronavirus disease 2019 (COVID-19) pandemic has generated large volumes of clinical data that c...

Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.

PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are diffic...

Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database.

Artificial intelligence is increasingly being adopted in medical fields to predict various outcomes....

Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project.

An important need exists to better understand and stratify kidney disease according to its underlyin...

Artificial Intelligence: The Next Frontier in Kidney Biopsy Evaluation.

Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks.

BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow...

Patient reported outcome measures concerning urinary incontinence after robot assisted radical prostatectomy: development and validation of an online prediction model using clinical parameters, lower urinary tract symptoms and surgical experience.

The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (...

Incorporation of Urinary Neutrophil Gelatinase-Associated Lipocalin and Computed Tomography Quantification to Predict Acute Kidney Injury and In-Hospital Death in COVID-19 Patients.

BACKGROUND: The prevalence of acute kidney injury (AKI) in COVID-19 patients is high, with poor prog...

Technical Refinements in Superextended Robot-assisted Radical Prostatectomy for Locally Advanced Prostate Cancer Patients at Multiparametric Magnetic Resonance Imaging.

BACKGROUND: The feasibility and efficacy of robot-assisted radical prostatectomy (RARP) in locally a...

Application of hierarchical clustering to multi-parametric MR in prostate: Differentiation of tumor and normal tissue with high accuracy.

PURPOSE: Hierarchical clustering (HC), an unsupervised machine learning (ML) technique, was applied ...

As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.

BACKGROUND: We focus on the importance of interpreting the quality of the labeling used as the input...

Automated detection of cribriform growth patterns in prostate histology images.

Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to int...

What factors affect the operative time of robot-assisted laparoscopic radical prostatectomy?

BACKGROUND: Robot-assisted radical prostatectomy (RARP) has gained prominence since the da Vinci sur...

A Deep Learning Framework Identifies Pathogenic Noncoding Somatic Mutations from Personal Prostate Cancer Genomes.

Our understanding of noncoding mutations in cancer genomes has been derived primarily from mutationa...

Prediction modeling-part 2: using machine learning strategies to improve transplantation outcomes.

Kidney transplant recipients and transplant physicians face important clinical questions where machi...

Automatic IMRT planning via static field fluence prediction (AIP-SFFP): a deep learning algorithm for real-time prostate treatment planning.

The purpose of this work was to develop a deep learning (DL) based algorithm, Automatic intensity-mo...

Subsphincteric Anastomosis During Laparoscopic Robot-Assisted Radical Prostatectomy and Its Positive Impact on Continence Recovery.

To assess the interest of a new sphincter preserving anastomosis technique for continence recovery ...