Urology

A Robust Balance-Control Framework for the Terrain-Blind Bipedal Walking of a Humanoid Robot on Unknown and Uneven Terrain.

Research on a terrain-blind walking control that can walk stably on unknown and uneven terrain is an...

Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.

BACKGROUND: Advanced machine learning methods combined with large sets of health screening data prov...

Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.

The objective of our study was to compare the performance of radiologicradiomic machine learning (M...

Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology.

To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...

Efficacy and safety of degarelix in patients with prostate cancer: Results from a phase III study in China.

OBJECTIVE: To establish non-inferiority of gonadotropin-releasing hormone degarelix compared with go...

Augmented Bladder Tumor Detection Using Deep Learning.

Adequate tumor detection is critical in complete transurethral resection of bladder tumor (TURBT) to...

Minimally invasive nephrectomy for inflammatory renal disease.

OBJECTIVE: Once chronic inflammatory renal disease (IRD) develops, it creates a severe peri-fibrotic...

Re: Functional and Oncologic Outcomes between Open and Robotic Radical Prostatectomy at 24-Month Follow-up in the Swedish LAPPRO Trial.

Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.

Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmenta...

Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study.

AIM: To test the feasibility of a fully automated artificial intelligence-based method providing PET...

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning.

PURPOSE: Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for ma...

Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method.

BACKGROUND: Kidney allocation is a multi-criteria and complex decision-making problem, which should ...

Growth Inhibitory and Pro-Apoptotic Effects of Ornamental Pomegranate Extracts in Du145 Human Prostate Cancer Cells.

Prostate cancer is the most common form of cancer in the male. Epidemiological studies have associa...

Assessment of Polyethylene Glycol Hydrogel Spacer and Its Effect on Rectal Radiation Dose in Prostate Cancer Patients Receiving Proton Beam Radiation Therapy.

PURPOSE: To assess the efficacy of placing a polyethylene glycol (PEG) spacing hydrogel in patients ...

Deep Learning-Based Histopathologic Assessment of Kidney Tissue.

BACKGROUND: The development of deep neural networks is facilitating more advanced digital analysis o...

Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning.

BACKGROUND AND OBJECTIVE: Rotator cuff muscle tear is one of the most frequent reason of operations ...

Re: A Comparative Study of Robot-assisted and Open Radical Prostatectomy in 10 790 Men Treated by Highly Trained Surgeons for Both Procedures.

Characteristics of urodynamic study parameters associated with intermediate-term continence after robot-assisted radical prostatectomy in elderly patients.

PURPOSE: To investigate the relationship between urodynamic study (UDS) data and recovery of urinary...

CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

It is well known that the unusual expression of long non-coding RNAs (lncRNAs) is closely related to...

Interventions to Improve Blood Pressure Control Among Socioeconomically Disadvantaged Patients With CKD: Kidney Awareness Registry and Education Pilot Randomized Controlled Trial.

RATIONALE & OBJECTIVE: Sustainable interventions that enhance chronic kidney disease (CKD) managemen...

Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.

OBJECTIVE: To investigate the discriminative capabilities of different machine learning-based classi...