Urology

Latest AI and machine learning research in urology for healthcare professionals.

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A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI.

OBJECTIVE: Prostate cancer is the most commonly diagnosed cancer in men in the United States with mo...

The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands.

BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kid...

Metabolomics of Prostate Cancer Gleason Score in Tumor Tissue and Serum.

Gleason score, a measure of prostate tumor differentiation, is the strongest predictor of lethal pro...

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.

Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), howev...

PCLiON: An Ontology for Data Standardization and Sharing of Prostate Cancer Associated Lifestyles.

BACKGROUND: Researches on Lifestyle medicine (LM) have emerged in recent years to garner wide attent...

Hyperuricemia and Impaired Renal Function: A Prospective Cohort Study.

BACKGROUND: Related studies have demonstrated a relationship of elevated serum uric levels with a de...

Detailed Analysis of Urinary Tract Infections After Robot-Assisted Radical Cystectomy.

To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and inve...

Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prer...

Machine learning analyses of automated performance metrics during granular sub-stitch phases predict surgeon experience.

Automated performance metrics objectively measure surgeon performance during a robot-assisted radica...

Pelvic Anatomical Features After Retzius-Sparing Robot-Assisted Radical Prostatectomy Intended for Early Recovery of Urinary Symptoms.

To elucidate factors contributing to early urinary continence recovery after retzius-sparing robot-...

Long-term outcomes of minimally invasive surgeries in partial nephrectomy. Robot or laparoscopy?

BACKGROUND: To compare long-term oncological and renal functional outcomes of laparoscopic and robot...

Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with th...

Artificial intelligence-based radiotherapy machine parameter optimization using reinforcement learning.

PURPOSE: To develop and evaluate a volumetric modulated arc therapy (VMAT) machine parameter optimiz...

Cognitive impairment in patients with moderate to severe chronic kidney disease: the Salford kidney cohort study.

BACKGROUND: Cognitive impairment in chronic kidney disease (CKD) is common and underrecognized [1, 2...

Convolutional neural network based proton stopping-power-ratio estimation with dual-energy CT: a feasibility study.

Dual-energy computed tomography (DECT) has shown a great potential for lowering range uncertainties,...

Calprotectin and Neutrophil Gelatinase-Associated Lipocalin As Biomarkers of Acute Kidney Injury in Acute Coronary Syndrome.

BACKGROUND: Acute kidney injury (AKI) is increasingly being seen in patients with acute coronary syn...

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