Urology

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

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Risk predictions of hospital-acquired pressure injury in the intensive care unit based on a machine learning algorithm.

Pressure injury (PI), or local damage to soft tissues and skin caused by prolonged pressure, remains...

Quadrifecta outcomes and their predictors following robotic radical prostatectomy: a study of newly established robotic center in India.

Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three op...

A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.

BACKGROUND: Acute kidney injury is a common postoperative complication affecting between 10% and 30%...

Robot-assisted partial nephrectomy for complex renal tumors: Analysis of a large multi-institutional database.

INTRODUCTION: Highly complex renal masses pose a challenge to urologic surgeons' ability to perform ...

Perioperative Outcome of Thulium Laser Enucleation of the Prostate versus Robot-Assisted Simple Prostatectomy: A Propensity Score-Matched Analysis.

INTRODUCTION: The aim of this study was to investigate and compare clinical safety and efficiency of...

Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study.

BACKGROUND: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quali...

Exploring the Applications of Indocyanine Green in Robot-Assisted Urological Surgery: A Comprehensive Review of Fluorescence-Guided Techniques.

This comprehensive review aims to explore the applications of indocyanine green (ICG) in robot-assis...

Predicting Prostate Cancer Molecular Subtype With Deep Learning on Histopathologic Images.

Microscopic examination of prostate cancer has failed to reveal a reproducible association between m...

Artificial intelligence applications in prostate cancer.

Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare deliver...

Single-port Transvesical Robot-assisted Radical Prostatectomy: The Surgical Learning Curve of the First 100 Cases.

OBJECTIVE: To determine the number of cases required to reach plateau performance.

Construction of a neural network diagnostic model for renal fibrosis and investigation of immune infiltration characteristics.

BACKGROUND: Recently, the incidence rate of renal fibrosis has been increasing worldwide, greatly in...

Towards an Optimized Distributed Message Queue System for AIoT Edge Computing: A Reinforcement Learning Approach.

The convergence of artificial intelligence and the Internet of Things (IoT) has made remarkable stri...

Robot-assisted Radical Prostatectomy with the Dexter Robotic System: Initial Experience and Insights into On-demand Robotics.

We report the world's first case series of ten robot-assisted radical prostatectomy (RARP) procedure...

Institutional trends and safety profile of same-day discharge for robot-assisted laparoscopic radical prostatectomy: A retrospective analysis.

PURPOSE: To report the trends, predictors, and patient outcomes of same-day discharge (SDD) versus n...

Role of spinal anesthesia in robot-assisted radical prostatectomy: Gamble or opportunity?

To the Editor, Although postoperative pain associated with robot-assisted radical prostatectomy (RAR...

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