Urology

Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging.

INTRODUCTION: Magnetic resonance imaging (MRI) has played an increasingly major role in the evaluati...

Full robotic multivisceral resections: the Modena experience and literature review.

The robotic platform is becoming a multidisciplinary tool, versatile, and suitable for multiple proc...

AI applications in renal pathology.

The explosive growth of artificial intelligence (AI) technologies, especially deep learning methods,...

Predictors of complications occurring after open and robot-assisted prostate cancer surgery: a retrospective evaluation of 1062 consecutive patients treated in a tertiary referral high volume center.

To investigate factors associated with the risk of major complications after radical prostatectomy (...

Immediate post-operative PDE5i therapy improves early erectile function outcomes after robot assisted radical prostatectomy (RARP).

To assess whether the timing of post-operative Phosphodiesterase Inhibitor (PDE5i) therapy after Rob...

Radical prostatectomy technique in the robotic evolution: from da Vinci standard to single port-a single surgeon pathway.

To describe perioperative outcomes following robot-assisted prostatectomy performed by a single surg...

Ambulatory robot-assisted laparoscopic radical prostatectomy with extended recovery by total extraperitoneal approach.

OBJECTIVE: To evaluate the feasibility of performing robot-assisted laparoscopic radical prostatecto...

Re: Comparison of renal function after open radical cystectomy, extracorporeal robot assisted radical cystectomy, and intracorporeal robot assisted radical cystectomy.

Optimizing ANFIS using simulated annealing algorithm for classification of microarray gene expression cancer data.

In the medical field, successful classification of microarray gene expression data is of major impor...

Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model's Complexity on Its Processing Speed.

Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almos...

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that ma...

Global guidance network for breast lesion segmentation in ultrasound images.

Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of ...

Robot-assisted Radical Prostatectomy Using the Novel Urethral Fixation Technique Versus Standard Vesicourethral Anastomosis.

BACKGROUND: Urinary continence recovery after radical prostatectomy is a major issue even in the rob...

A low RENAL Nephrometry Score can avoid the need for the intraoperative insertion of a ureteral catheter in robot-assisted partial nephrectomy.

BACKGROUND: Intraoperative urinary collecting system entry (CSE) in robot-assisted partial nephrecto...

Robotic soft swim bladder using liquid-vapor phase transition.

The swim bladder is crucial to underwater robots to enhance their overall performance and to expand ...

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database.

BACKGROUND: Accurate prognostication is crucial in treatment decisions made for men diagnosed with n...

Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil.

The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...

DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy.

Emerging magnetic resonance (MR) guided radiotherapy affords significantly improved anatomy visualiz...

Contemporary National Trends and Variations of Pelvic Lymph Node Dissection in Patients Undergoing Robot-Assisted Radical Prostatectomy.

INTRODUCTION: Previous studies showed suboptimal adherence to clinical practice guidelines for pelvi...

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues.

Reliable counting of glomeruli and evaluation of glomerulosclerosis in renal specimens are essential...

Correlation of urinary loss rate after catheter removal and long-term urinary continence after robot-assisted laparoscopic radical prostatectomy.

OBJECTIVES: To assess the correlation of urine loss rate after catheter removal with long-term conti...