Urology

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

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Deep learning-based dose map prediction for high-dose-rate brachytherapy.

. Creating a clinically acceptable plan in the time-sensitive clinic workflow of brachytherapy is ch...

Attention-guided multi-scale learning network for automatic prostate and tumor segmentation on MRI.

BACKGROUND AND OBJECTIVE: Image-guided clinical diagnosis can be achieved by automatically and accur...

Predicting congenital renal tract malformation genes using machine learning.

Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children...

FGFR1Pred: an artificial intelligence-based model for predicting fibroblast growth factor receptor 1 inhibitor.

Fibroblast growth factor receptors (FGFRs) are a family of cell surface receptors that bind to fibro...

Robotic Surgery in Urology: History from PROBOT to HUGO.

The advent of robotic surgical systems had a significant impact on every surgical area, especially u...

Performance assessment of variant UNet-based deep-learning dose engines for MR-Linac-based prostate IMRT plans.

. UNet-based deep-learning (DL) architectures are promising dose engines for traditional linear acce...

Improving domain generalization performance for medical image segmentation via random feature augmentation.

Deep convolutional neural networks (DCNNs) have shown remarkable performance in medical image segmen...

Robot-assisted pelvic and renal surgery compared with laparoscopic or open surgery: Literature review of cost-effectiveness and clinical outcomes.

BACKGROUND AND AIM: The purpose of this study was to evaluate clinical experiences and cost-effectiv...

Vesicourethral Anastomosis in Transvesical Single-Port Robotic Radical Prostatectomy: A Technical Description and Perioperative Outcomes.

To describe the technical evolution and perioperative outcomes of vesicourethral anastomosis (VUA) ...

Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery.

BACKGROUND: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that re...

A two-step deep learning method for 3DCT-2DUS kidney registration during breathing.

This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scan...

Self-removal of catheter after robot-assisted radical prostatectomy: a feasibility study.

Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has ...

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