AI Medical Compendium Topic:
Prostatectomy

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Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers.

Investigative and clinical urology
PURPOSE: Semantic segmentation is a fundamental part of the surgical application of deep learning. Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recentl...

Advancements in artificial intelligence for robotic-assisted radical prostatectomy in men suffering from prostate cancer: results from a scoping review.

Chinese clinical oncology
BACKGROUND: Robotic-assisted radical prostatectomy (RARP) is currently a first-line treatment option for men with localized prostate cancer (PCa), at least 10 years of life expectancy, and candidate for curative treatment. We performed a scoping revi...

Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning.

JCO clinical cancer informatics
PURPOSE: Prostate cancer (PCa) represents a highly heterogeneous disease that requires tools to assess oncologic risk and guide patient management and treatment planning. Current models are based on various clinical and pathologic parameters includin...

Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images.

Molecular cancer research : MCR
Our study illuminates the potential of deep learning in effectively inferring key prostate cancer genetic alterations from the tissue morphology depicted in routinely available histology slides, offering a cost-effective method that could revolutioni...

Association Between Acute Kidney Injury and the Trendelenburg Position Angle During Robot-assisted Radical Prostatectomy.

Anticancer research
BACKGROUND/AIM: Robot-assisted radical prostatectomy (RARP) has been widely adopted as the standard treatment for localized prostate cancer. RARP is safer and results in better oncological control than conventional open total prostatectomy. However, ...

How Surgeons Think to Avoid Error: A Case Study of the Neurovascular Bundle Sparing During a Robotic Prostatectomy.

Journal of surgical education
OBJECTIVE: To illustrate how experts efficiently navigate a "slowing down moment" to obtain optimal surgical outcomes using the neurovascular bundle sparing during a robotic prostatectomy as a case study.

Impact of prostatic shape on the difficulty of robot-assisted laparoscopic radical prostatectomy.

Asian journal of endoscopic surgery
INTRODUCTION: To investigate the impact of prostatic shape observed on preoperative magnetic resonance imaging (MRI) on the difficulty of robot-assisted laparoscopic radical prostatectomy (RALP).

Significance of the cribriform morphology area ratio for biochemical recurrence in Gleason score 4 + 4 prostate cancer patients following robot-assisted radical prostatectomy.

Cancer medicine
BACKGROUND: In prostate cancer, histological cribriform patterns are categorized as Gleason pattern 4, and recent studies have indicated that their size and percentage are associated with the risk of biochemical recurrence (BCR). However, these studi...

[Functional outcomes of robot-assisted radical prostatectomy with preservation of pelvic stabilized structure and early elevated retrograde liberation of neurovascular bundle].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To examine the functional outcomes of robot-assisted radical prostatectomy (RARP) with preservation of pelvic floor stabilized structure and early elevated retrograde liberation of the neurovascular bundle (PEEL). This study was a retrospective coh...

[Technological development of robot-assisted radical prostatectomy].

Zhonghua wai ke za zhi [Chinese journal of surgery]
The surgical outcomes of robot-assisted radical prostatectomy have shown remarkable improvement over the last two decades since its advent, due to advances in surgical concepts, techniques, and equipment. Today, ongoing research aims to compare the b...