Urology

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

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Kidney Detection in 3-D Ultrasound Imagery via Shape-to-Volume Registration Based on Spatially Aligned Neural Network.

This paper introduces a computer-aided kidney shape detection method suitable for volumetric (3D) ul...

Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.

BACKGROUND: Partin tables represent the most widely used predictive tool for prostate cancer stage a...

Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of pros...

Coil Embolization of a Renal Aneurysm Using a Minimally Invasive Endovascular Robotic System.

We present a case demonstrating the use of an endovascular robotic system in the treatment of a sacc...

InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk.

BACKGROUND: Since the establishment of the first biomedical ontology Gene Ontology (GO), the number ...

A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency.

Personalized medicine implies that distinct treatment methods are prescribed to individual patients ...

25-hydroxyvitamin D Levels was not Associated with Blood Pressure and Arterial Stiffness in Patients with Chronic Kidney Disease.

BACKGROUND: We investigated the effect of vitamin D deficiency on cardiovascular risk profiles in an...

Risk and Management of Postoperative Urinary Retention Following Spinal Surgery.

PURPOSE: Postoperative urinary retention (POUR) is a common complication after spinal surgery. Howev...

Physician perceptions of blood pressure control in patients with chronic kidney disease and target blood pressure achievement rate.

BACKGROUND: Blood pressure (BP) control is the most-established method for the prevention of chronic...

Clinical Significance of Urinary Biomarkers in Patients With Primary Focal Segmental Glomerulosclerosis.

BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is often accompanied with tubulointerstitial l...

Changes in glomerular filtration rate and outcomes in patients with atrial fibrillation.

BACKGROUND: Patients with kidney disease are more likely to develop atrial fibrillation (AF) than in...

A comparison of normal and high post-void residual urine and urodynamic parameters in women with overactive bladder.

OBJECTIVE: To investigate voiding functions and assess the relationships of voiding parameters to ov...

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