Urology

Comparing open-radical cystectomy and robot-assisted radical cystectomy: current status and analysis of the evidence.

PURPOSE OF REVIEW: Radical cystectomy is the definitive surgical treatment for aggressive bladder cancer. The robotic platform offers a new approach to radical cystectomy, but the benefits are unclear. This review examines the latest evidence, with a particular focus on developments in the last two years.

The utility of artificial intelligence in the assessment of prostate pathology.

[Research status and trend of artificial intelligence in the diagnosis of urinary diseases].

Recently, artificial intelligence (AI) has been widely applied in the diagnosis and treatment of urinary diseases with the development of data storage...

[A fusion network model based on limited training samples for the automatic segmentation of pelvic endangered organs].

When applying deep learning to the automatic segmentation of organs at risk in medical images, we combine two network models of Dense Net and V-Net to...

Assessing kidney stone composition using deep learning.

[Prostate cancer pathologic features in men ≤55 years treated with robot assisted radical prostatectomy.].

OBJECTIVE: Among western males, prostate cancer is the most frequent oncological disease. Since the widespread of PSA, diagnoses in younger adults is ...

Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach.

The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely acquired computed tomography (CT) images using ra...

[Efficacy of Neoadjuvant Endocrine Therapy for Prostate Ductal Carcinoma with Large Multiple Cysts Prior to Robot-Assisted Laparoscopic Radical Prostatectomy].

A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compressing the prostate on the right ventral side on pel...

Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.

The goal of this study was to develop a semi-automated prediction approach of target shifts using machine learning architecture (MLA) with anatomical ...

Machine learning in nephrology: scratching the surface.

Machine learning shows enormous potential in facilitating decision-making regarding kidney diseases. With the development of data preservation and pro...

Artificial intelligence: the future of urinary stone management?

PURPOSE OF REVIEW: To investigate the application of artificial intelligence in the management of nephrolithiasis.

Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

PURPOSE: To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using texture analysis and machine learning algorithms.

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

While radiologists regularly issue follow-up recommendations, our preliminary research has shown that anywhere from 35 to 50% of patients who receive ...

Artificial intelligence approaches to improve kidney care.

Artificial intelligence is increasingly being used to improve diagnosis and prognostication for acute and chronic kidney diseases. Studies published i...

To the Horizon: The Brink of an AI Revolution in Prostate Cancer?

[New aspects in the treatment of localized renal cell carcinoma].

BACKGROUND: Localized renal cell carcinoma is increasingly relevant in daily urological practice due to earlier diagnosis and higher life expectancy.

Robotics in Pediatric Urology.

Robotic surgery has been slow to be fully accepted in the world of pediatric urology largely because of its initial application directed towards adult...

Effect of pelvimetric diameters on success of surgery in patients submitted to robot-assisted perineal radical prostatectomy.

OBJECTIVE: Minimally invasive techniques are used increasingly by virtue of advancements in technology. Surgery for prostate cancer, which has high mo...

Agreement of two pre-trained deep-learning neural networks built with transfer learning with six pathologists on 6000 patches of prostate cancer from Gleason2019 Challenge.

INTRODUCTION: While the visual inspection of histopathology images by expert pathologists remains the golden standard method for grading of prostate c...

Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Massive generation of health-related data has been key in enabling the big data science initiative to gain new insights in healthcare. Nursing can ben...