Urology

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

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Comparison of Robot-Assisted Versus Open Simple Prostatectomy for Benign Prostatic Hyperplasia.

PURPOSE OF REVIEW: Recent advancements in minimally invasive approaches for prostate surgery have pr...

Effect of Hepatitis C Treatment on Renal Function in Liver Transplant Patients.

Hepatitis C Virus (HCV) is uniformly recurrent after liver transplant (LT) and recurrence is associ...

Lupus nephritis pathology prediction with clinical indices.

Effective treatment of lupus nephritis and assessment of patient prognosis depend on accurate pathol...

Outcomes of Intradetrusor OnabotulinumtoxinA Injection in Adults with Congenital Spinal Dysraphism in Tertiary Transitional Urology Clinic.

PURPOSE: Published data regarding intradetrusor injection of onabotulinumtoxinA in adults with conge...

Weakly-supervised convolutional neural networks for multimodal image registration.

One of the fundamental challenges in supervised learning for multimodal image registration is the la...

Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.

Papillary Renal Cell Carcinoma (PRCC) is a heterogeneous disease with variations in disease progress...

Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections.

Transplantable kidneys are in very limited supply. Accurate viability assessment prior to transplant...

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.

Temporal enhanced ultrasound (TeUS), comprising the analysis of variations in backscattered signals ...

Advances in the computational and molecular understanding of the prostate cancer cell nucleus.

Nuclear alterations are a hallmark of many types of cancers, including prostate cancer (PCa). Recent...

A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy.

Targeted prostate biopsy, incorporating multi-parametric magnetic resonance imaging (mp-MRI) and its...

Affinity network fusion and semi-supervised learning for cancer patient clustering.

Defining subtypes of complex diseases such as cancer and stratifying patient groups with the same di...

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