Urology

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.

Detecting and grading prostate cancer in radical prostatectomy specimens through deep learning techniques.

OBJECTIVES: This study aims to evaluate the ability of deep learning algorithms to detect and grade prostate cancer (PCa) in radical prostatectomy specimens.

Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.

BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to e...

Deep-Learning-Based CT Imaging in the Quantitative Evaluation of Chronic Kidney Diseases.

This study focused on the application of deep learning algorithms in the segmentation of CT images, so as to diagnose chronic kidney diseases accurate...

Longitudinal Follow-Up and Outcomes for Chinese Patients with Stage 1-4 Chronic Kidney Disease.

INTRODUCTION: Understanding heterogeneity in the prognosis of chronic kidney disease (CKD) has implications in management of patients. We aimed to eva...

Development of calciphylaxis in kidney transplant recipients with a functioning graft.

BACKGROUND: Calciphylaxis is not uniquely observed in uraemic patients, as some cases have also been reported in patients with normal renal function o...

Potential Contenders for the Leadership in Robotic Surgery.

To summarize the scientific published literature on new robotic surgical platforms with potential use in the urological field, reviewing their evolut...

Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Background Imaging assessment for hepatomegaly is not well defined and currently uses suboptimal, unidimensional measures. Liver volume provides a mor...

A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.

BACKGROUND: Development of acute kidney injury (AKI) is associated with poor prognosis in patients with ST-segment elevation myocardial infarction (ST...

Future Platforms of Robotic Surgery.

Among the various robotic devices that exist for urologic surgery, the most common are synergistic telemanipulator systems. Several have achieved clin...

Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists.

The growth and adoption of artificial intelligence has led to impressive results in urology. As artificial intelligence grows more ubiquitous, it is i...

AI Integration in the Clinical Workflow.

Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing important clinical needs when applied to medical ...

Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis.

The resistance of urinary tract pathogenic bacteria to various antibiotics is increasing, which requires the rapid detection of infectious pathogens f...

Machine Learning Approach to Calculate Electronic Couplings between Quasi-diabatic Molecular Orbitals: The Case of DNA.

Diabatization of one-electron states in flexible molecular aggregates is a great challenge due to the presence of surface crossings between molecular ...

Early Catheter Removal on Postoperative Day 2 After Robot-assisted Radical Prostatectomy: Updated Real-life Experience with the Aalst Technique.

We evaluated the feasibility and impact on short- and long-term functional outcomes of very early catheter removal on postoperative day (POD) 2 after ...

Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.

PURPOSE: Clinical applicability of renal arterial spin labeling (ASL) MRI is hampered because of time consuming and observer dependent post-processing...

Editorial Comment to Myosteatosis as a novel predictor of urinary incontinence after robot-assisted radical prostatectomy.

PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

PURPOSE: Automatic segmentation of medical images with deep learning (DL) algorithms has proven highly successful in recent times. With most of these ...

Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation.

PURPOSE: Robot-assisted kidney transplant (RAKT) recently proved to provide functional results similar to the preferred open kidney transplant (OKT), ...

Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in Children.

In this study, we aimed to develop a new automated method for kidney volume measurement in children using ultrasonography (US) with image pre-processi...