Urology

Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.

OBJECTIVES: Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in Ch...

The mid-term effect of left ventricular assist devices on renal functions.

BACKGROUND: In this study, we aimed to investigate the mid-term effects of left ventricular assist d...

Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

The use of artificial intelligence in medicine is currently an issue of great interest, especially w...

Time to Move On: The Impending Need for a New Disease-specific Comorbidity Index for Bladder Cancer Patients Undergoing Robot-assisted Radical Cystectomy.

The Charlson comorbidity index is an outdated comorbidity assessment tool which is not disease speci...

Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.

OBJECTIVE: The purpose of this study was: To test whether machine learning classifiers for transitio...

Impact of age on cardiovascular drug use in patients with chronic kidney disease.

BACKGROUND: Elderly patients with chronic kidney disease (CKD) are often excluded from clinical tria...

Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11.

BACKGROUND: Owing to the large variation in treatment response among patients with high-risk prostat...

Re: A Prospective Comparative Analysis of Robot-Assisted vs Open Simple Prostatectomy for Benign Prostatic Hyperplasia.

Update on the Urology Tag Ontology: Standardized Hashtags for Social Media in Urology.

Prediction of Nephropathy in Type 2 Diabetes: An Analysis of the ACCORD Trial Applying Machine Learning Techniques.

Applying data mining and machine learning (ML) techniques to clinical data might identify predictive...

Ultrasound prostate segmentation based on multidirectional deeply supervised V-Net.

PURPOSE: Transrectal ultrasound (TRUS) is a versatile and real-time imaging modality that is commonl...

Grading of Clear Cell Renal Cell Carcinomas by Using Machine Learning Based on Artificial Neural Networks and Radiomic Signatures Extracted From Multidetector Computed Tomography Images.

RATIONALE AND OBJECTIVES: To evaluate the ability of artificial neural networks (ANN) fed with radio...

Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

The question of whether ultrasound point shear wave elastography can differentiate renal cell carcin...

Research-based versus clinical serum creatinine measurements and the association of acute kidney injury with subsequent kidney function: findings from the Chronic Renal Insufficiency Cohort study.

BACKGROUND: Observational studies relying on clinically obtained data have shown that acute kidney i...

Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.

Dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) is a method of temporal imaging tha...

Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies.

Histopathologic grading of prostate cancer using Gleason patterns (GPs) is subject to a large inter-...

Recovery of pad-free continence in elderly men does not differ from younger men undergoing robot-assisted radical prostatectomy for aggressive prostate cancer.

PURPOSE: To analyze urinary continence outcome following robot-assisted radical prostatectomy (RARP)...

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans.

Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatmen...

Declining use of radical prostatectomy and pelvic lymphadenectomy despite more robotics: National population data over 15 years.

AIM: To describe national surgical patterns of prostate cancer (PCa) care considering radical prosta...

Three-dimensional Elastic Augmented Reality for Robot-assisted Laparoscopic Prostatectomy: Pushing the Boundaries, but Cutting it Fine.

Application of Deep Learning Algorithm in Cervical Cancer MRI Image Segmentation Based on Wireless Sensor.

With the development of medical technology in China, new difficulties are gradually emerging in trad...