Urology

Implementation of Machine Learning Mechanism for Recognising Prostate Cancer through Photoacoustic Signal.

Biological tissues may be studied using photoacoustic (PA) spectroscopy, which can yield a wealth of...

A Prediction Model of Defecation Based on BP Neural Network and Bowel Sound Signal Features.

(1) Background: Incontinence and its complications pose great difficulties in the care of the disabl...

Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers.

OBJECTIVE: To investigate the impact of an artificial intelligence (AI) software and quantitative AD...

Mitigating urinary incontinence condition using machine learning.

BACKGROUND: Urinary incontinence (UI) is the inability to completely control the process of releasin...

Comparison of Three Approaches to Single-Port Robot-Assisted Radical Prostatectomy: Our Institution's Initial Experience.

We aimed to compare three robot-assisted radical prostatectomy (RARP) approaches-Retzius sparing (R...

Editorial Comment from Dr Kadonoo to Minimal residual membranous urethral length and membranous urethral length predict poor recovery from incontinence after robot-assisted radical prostatectomy and after open radical prostatectomy.

Editorial Comment from Dr Haga et al. to Minimal residual membranous urethral length and membranous urethral length predict poor recovery from incontinence after robot-assisted radical prostatectomy and after open radical prostatectomy.

Reply to Bernardo Rocco and Maria Chiara Sighinolfi's Letter to the Editor re: James W.F. Catto, Pramit Khetrapal, Federico Ricciardi, et al. Effect of Robot-assisted Radical Cystectomy with Intracorporeal Urinary Diversion vs Open Radical Cystectomy on 90-Day Morbidity and Mortality Among Patients with Bladder Cancer: A Randomized Clinical Trial. JAMA 2022;327:2092-103: Lacking the Evidence for Neobladder Use After Radical Cystectomy.

Robotic partial nephrectomy for complex kidney cyst in a 4-year old boy: Points of technique.

Complex kidney cysts are rarely observed in childhood. In adult patients, when radiological studies ...

Structural design and analysis of pneumatic prostate seed implantation robot applied in magnetic resonance imaging environment.

BACKGROUND: The method of MRI (Magnetic Resonance Imaging) image-guided robot for prostate seed impl...

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.

Prostate biopsy and image-guided treatment procedures are often performed under the guidance of ultr...

Robot-assisted simple prostatectomy with the novel HUGO™ RAS System: feasibility, setting, and perioperative outcomes.

Robot-assisted simple prostatectomy (RASP) has demonstrated better peri-operative outcomes as compar...

Minimal residual membranous urethral length and membranous urethral length predict poor recovery from incontinence after robot-assisted radical prostatectomy and after open radical prostatectomy.

OBJECTIVES: To investigate how much minimal residual membranous urethral length (mRUL) and maximal u...

[Morbidity of extended pelvic lymphadenectomy during robot-assisted laparoscopic prostatectomy for localized cancer prostate].

OBJECTIVES: To assess the morbidity specific of extended pelvic lymphadenectomy during robot-assiste...

Editorial Comment to Robot-assisted laparoscopic versus open partial nephrectomy for renal cell carcinoma in patients with severe chronic kidney disease.

Deep learning multi-organ segmentation for whole mouse cryo-images including a comparison of 2D and 3D deep networks.

Cryo-imaging provided 3D whole-mouse microscopic color anatomy and fluorescence images that enables ...

Significance of postoperative membranous urethral length and position of vesicourethral anastomosis for short-term continence recovery following robot-assisted laparoscopic radical prostatectomy.

BACKGROUND: We assess whether short-term recovery of urinary incontinence following robot-assisted l...

Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.

PURPOSE: Segmenting organs in cone-beam CT (CBCT) images would allow to adapt the radiotherapy based...

Enhancing MR image segmentation with realistic adversarial data augmentation.

The success of neural networks on medical image segmentation tasks typically relies on large labeled...

Editorial Comment to Incidence and predictive factors of orgasmic dysfunction after robot-assisted radical prostatectomy: A cross-sectional, questionnaire-based study.

Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing technique.

BACKGROUND: Urine cytology is commonly used as a screening test for high-grade urothelial carcinoma ...