Urology

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

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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...

Distinguishing butchery cut marks from crocodile bite marks through machine learning methods.

All models of evolution of human behaviour depend on the correct identification and interpretation o...

An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study.

BACKGROUND: Accurately identifying cases of chronic kidney disease (CKD) from primary care data faci...

Creation of knowledge-based planning models intended for large scale distribution: Minimizing the effect of outlier plans.

Knowledge-based planning (KBP) can be used to estimate dose-volume histograms (DVHs) of organs at ri...

Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation.

The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms...

Intravenous infusion of magnesium sulfate is not associated with cardiovascular, liver, kidney, and metabolic toxicity in adults.

BACKGROUND: Magnesium (Mg) deficiency contributes to the pathophysiology of numerous diseases. The t...

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.

Recently, more and more attention is drawn to the field of medical image synthesis across modalities...

Supervised Learning Classifiers for Electrical Impedance-based Bladder State Detection.

Urinary Incontinence affects over 200 million people worldwide, severely impacting the quality of li...

Causal risk factor discovery for severe acute kidney injury using electronic health records.

BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a...

Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes.

PURPOSE: Surgical performance is critical for clinical outcomes. We present a novel machine learning...

A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.

OBJECT: Pathologic prediction of prostate cancer can be made by predicting the patient's prostate me...

Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after pr...

Impact of database quality in knowledge-based treatment planning for prostate cancer.

PURPOSE: This article investigates dose-volume prediction improvements in a common knowledge-based p...

Machine Learning of Partial Charges Derived from High-Quality Quantum-Mechanical Calculations.

Parametrization of small organic molecules for classical molecular dynamics simulations is not trivi...

Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.

Colorectal cancer (CRC) is one of the most daunting diseases due to its increasing worldwide prevale...

Predicting urinary tract infections in the emergency department with machine learning.

BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with repor...

New Treatment for Urethral Rent in Stallions.

The aim of this report is to describe a new methodology to successfully treat stallions diagnosed wi...

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