PURPOSE/ BACKGROUND: Patient-reported outcome measures (PROMs) are widely used after robot assisted radical prostatectomy (RARP) in order to evaluate the impact/burden of the treatment. The most bothersome side effects of RARP are urine incontinence ...
PURPOSE: The Hugo™ RAS system is a novel robotic platform with innovative features. However, there are currently no available data on extraperitoneal robot-assisted radical prostatectomy (RARP) performed using this system. The objective of this study...
BACKGROUND: The interest in MR-only workflows is growing with the introduction of artificial intelligence in the synthetic CT generators converting MR images into CT images. The aim of this study was to evaluate several commercially available sCT gen...
The Urologic clinics of North America
Aug 30, 2023
The application of artificial intelligence (AI) on prostate magnetic resonance imaging (MRI) has shown promising results. Several AI systems have been developed to automatically analyze prostate MRI for segmentation, cancer detection, and region of i...
OBJECTIVE: To present the results of the first series of patients treated with robot-assisted radical prostatectomy (RARP) with the use of the Versius® Surgical System (CMR Surgical Ltd., Cambridge, UK). RARP has demonstrated better perioperative out...
PURPOSE OF REVIEW: Urinary incontinence is common postoperative complication following robot-assisted radical prostatectomy (RARP) in patients with prostate cancer (PCa). Despite the increasing adoption of RARP in the treatment of high-risk PCa (HRPC...
BACKGROUND: In addition to ensuring cancer control, prevention of incontinence which significantly impact patients' quality of life, is also an important issue in robot-assisted radical prostatectomy (RARP) operations. In this study, we aimed to find...
BACKGROUND: In the field of robotic surgery, there is a lack of comparative evidence on surgical and functional outcomes of different robotic platforms.
At ultrahigh field strengths images of the body are hampered by B -field inhomogeneities. These present themselves as inhomogeneous signal intensity and contrast, which is regarded as a "bias field" to the ideal image. Current bias field correction m...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.