Urology

Central Auditory Processing Impairment in Renal Failure.

UNLABELLED: This study is the first to investigate central auditory processing impairment in patient...

Prediction and related genes of cancer distant metastasis based on deep learning.

Cancer metastasis is one of the main causes of cancer progression and difficulty in treatment. Genes...

Epidemiological description and trajectories of patients with prostate cancer in Denmark: an observational study of 7448 patients.

OBJECTIVE: Identification of patients at high risk of aggressive prostate cancer is a major clinical...

Safety and Reliability of a Robot-assisted Laparoscopic Telesurgery System: Expanding Indications in Urological Surgery.

Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans.

PURPOSE: Kidney volume is important in the management of renal diseases. Unfortunately, the currentl...

Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine.

KEY POINTS: The authors leverage the unique benefits of panoptic segmentation to perform the largest...

The pen is mightier than the machine-artificial intelligence image generators in urology.

Calculation of Protein Folding Thermodynamics Using Molecular Dynamics Simulations.

Despite advances in artificial intelligence methods, protein folding remains in many ways an enigma ...

Chronic kidney disease and Charlson comorbidity index predict complications after robot-assisted radical cystectomy: A single-center study in Japan.

OBJECTIVES: To investigate preoperative patient factors that may predict the occurrence of periopera...

Biochemical outcome after curative treatment for localized prostate cancer with external beam radiotherapy: a cross-sectional study.

Although many patients who receive definitive radiotherapy (RT) for localised prostate cancer (CaP) ...

The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes: a systematic review and network meta-analysis.

OBJECTIVE: To systematically compare and rank the accuracy of AI-based intraocular lens (IOL) power ...

Human Exposure Levels of Volatile Organic Compounds in E-waste Recycling Area: Get Insight into Impacts of Manipulation Mode and Associations with Oxidative Stress Markers.

There is currently a dearth of evidence regarding the impact of the manipulation mode on human occup...

Immune monitoring of allograft status in kidney transplant recipients.

Kidney transplant patients require careful management of immunosuppression to avoid rejection while ...

Perioperative and Survival Outcomes of Patients Treated With Robot-Assisted Partial Nephrectomy and Percutaneous Microwave Ablation for Small Renal Masses: A Single Center Experience.

BACKGROUND: Robot assisted partial nephrectomy (RAPN) and microwave ablation (MWA) are 2 of the most...

A survey on cancer detection via convolutional neural networks: Current challenges and future directions.

Cancer is a condition in which abnormal cells uncontrollably split and damage the body tissues. Henc...

Combined colour deconvolution and artificial intelligence approach for region-selective immunohistochemical labelling quantification: The example of alpha smooth muscle actin in mouse kidney.

Immunohistochemical (IHC) localisation of protein expression is a widely used tool in pathology. Thi...

Accurate exclusion of kidney regions affected by susceptibility artifact in blood oxygenation level-dependent (BOLD) images using deep-learning-based segmentation.

Susceptibility artifact (SA) is common in renal blood oxygenation level-dependent (BOLD) images, and...

A contemporary analysis of disease upstaging of Gleason 3 + 3 prostate cancer patients after robot-assisted laparoscopic prostatectomy.

BACKGROUND: Risk of biochemical recurrence (BCR) in localised prostate cancer can be stratified usin...

An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD.

INTRODUCTION: Accurate tools to inform individual prognosis in patients with autosomal dominant poly...

Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI-RS 2023.

INTRODUCTION: A "Think Tank" at the International Consultation on Incontinence-Research Society meet...

A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization.

Lesion scores on procurement donor biopsies are commonly used to guide organ utilization for decease...