Urology

Robot-assisted transvesical partial prostatectomy using a purpose-built single-port robotic system.

OBJECTIVES: To evaluate the feasibility of robot-assisted single-port (SP) transvesical partial pros...

Love Wave Sensor for Prostate-Specific Membrane Antigen Detection Based on Hydrophilic Molecularly-Imprinted Polymer.

Prostate-specific membrane antigen (PSMA) is a biomarker for prostate cancer (PCa), and a specific a...

Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models.

PURPOSE: Most of the existing convolutional neural network (CNN)-based medical image segmentation me...

A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection.

The important role of angiogenesis in cancer development has driven many researchers to investigate ...

Artificial intelligence improves estimation of tacrolimus area under the concentration over time curve in renal transplant recipients.

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.

Very little is known about the health problems experienced by individuals with autism spectrum disor...

Clinical outcomes and costs of robotic surgery in prostate cancer: a multiinstitutional study in Korea.

BACKGROUND: This study compared the surgical, functional, and oncologic outcomes of robot-assisted l...

Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks.

Computed tomography (CT) is the method of choice for diagnosing ureteral stones - kidney stones that...

Natural Language Processing Accurately Calculates Adenoma and Sessile Serrated Polyp Detection Rates.

BACKGROUND: ADR is a widely used colonoscopy quality indicator. Calculation of ADR is labor-intensiv...

Editorial Comment on: Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes by Hung et al.

Assessing Breast Cancer Risk with an Artificial Neural Network.

Objectives: Radiologists face uncertainty in making decisions based on their judgment of breast canc...

Implementing assessments of robot-assisted technical skill in urological education: a systematic review and synthesis of the validity evidence.

OBJECTIVES: To systematically review and synthesise the validity evidence supporting intraoperative ...

Ultrasonographic Reference Values of Kidney Dimensions and Clinicopathological Findings Associating the Transcutaneous Ultrasound-Guided Renal Biopsy in Donkeys (Equus asinus).

This study aimed to establish normal ultrasonographic reference values of kidney dimensions in donke...

Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading.

OBJECTIVE: Feature selection (FS) methods are widely used in grading and diagnosing prostate histopa...

Agonists of G-Protein-Coupled Odorant Receptors Are Predicted from Chemical Features.

Predicting the activity of chemicals for a given odorant receptor is a longstanding challenge. Here ...

Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.

BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis o...

Drug repositioning for prostate cancer: using a data-driven approach to gain new insights.

UNLABELLED: Prostate cancer (PC) is the most common cancer and the third leading cause of cancer dea...

Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated inf...

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.

Gleason grading of histological images is important in risk assessment and treatment planning for pr...

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

The clinical, granular data in electronic health record (EHR) systems provide opportunities to impro...

Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?

Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two decades due to r...