Urology

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

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Biologically informed deep neural network for prostate cancer discovery.

The determination of molecular features that mediate clinically aggressive phenotypes in prostate ca...

Long-term effect of tocilizumab on left ventricular hypertrophy and systolic dysfunction in AA amyloidosis with rheumatoid arthritis.

Because cardiac involvement of amyloid A (AA) is not frequent, little is known about the effects of ...

Peak learning of mass spectrometry imaging data using artificial neural networks.

Mass spectrometry imaging (MSI) is an emerging technology that holds potential for improving, biomar...

Catheter position prediction using deep-learning-based multi-atlas registration for high-dose rate prostate brachytherapy.

PURPOSE: High-dose-rate (HDR) prostate brachytherapy involves treatment catheter placement, which is...

Analysis of the Effect of Robots in the Treatment of Pancreatic Cancer Based on Smart Medicine.

In order to study the effect of robots in the treatment of pancreatic cancer in the context of smart...

Myosteatosis as a novel predictor of urinary incontinence after robot-assisted radical prostatectomy.

OBJECTIVES: To evaluate the impact of sarcopenia and myosteatosis on urinary incontinence after pros...

Robot-Assisted Laparoscopic Management of Bladder/Prostate Rhabdomyosarcoma in Children: Initial Series and 1-Year Outcomes.

To present our preliminary experiences of robot-assisted laparoscopic radical or partial cystectomy...

Integration of Robotics in Urology Residency Programs: an Unchecked Technological Revolution.

PURPOSE OF REVIEW: To review the integration of robotics in urology residency programs and evaluate ...

Cefepime Induced Neurotoxicity Following A Regimen Dose-Adjusted for Renal Function: Case Report and Review of the Literature.

Cefepime induced neurotoxicity (CIN) is commonly associated with renal dysfunction, however CIN can...

Artificial intelligence for solid tumour diagnosis in digital pathology.

Tumour diagnosis relies on the visual examination of histological slides by pathologists through a m...

Strategy for laparoscopic repair of inguinal hernia after robot-assisted radical prostatectomy.

INTRODUCTION: Robot-assisted radical prostatectomy (RARP) is nowadays being performed worldwide, and...

Preoperative prediction of postoperative urinary retention in lumbar surgery: a comparison of regression to multilayer neural network.

OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and i...

Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models.

BACKGROUND: Contour delineation, a crucial process in radiation oncology, is time-consuming and inac...

Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis.

The elucidation of dynamic metabolomic changes during gestation is particularly important for the de...

The evolution of image guidance in robotic-assisted laparoscopic prostatectomy (RALP): a glimpse into the future.

OBJECTIVES: To describe the innovative intraoperative technologies emerging to aid surgeons during m...

Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review.

PURPOSE: To perform a systematic search and review of the available literature on the learning curve...

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