INTRODUCTION: Adequate methods to promptly translate digital health innovations for improved patient care are essential. Advances in Artificial Intelligence (AI) and Machine Learning (ML) have been sources of digital innovation and hold the promise t...
PURPOSE: Patients who undergo robot-assisted laparoscopic radical prostatectomy (RARP) may present concurrent or secondary inguinal hernia (IH). Surgical repair of IH simultaneously with RARP has been reported. We aimed to assess the long-term effica...
BACKGROUND: Accurate and efficient dose calculation is essential for on-line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL-based dose predicti...
INTRODUCTION: Urinary dysfunctions are common sequelae following prostatectomy. This study aimed to discover factors that can predict urinary continence recovery at various time periods after robot-assisted laparoscopic radical prostatectomy (RARP).
The study aims to synthesize all available prospective comparative studies and reports the latest systematic analysis and updated evidence comparing robot-assisted radical prostatectomy (RARP) with open radical prostatectomy (ORP) for perioperative, ...
PURPOSE: To investigate the efficacy of continuous suturing using barbed suture for vesicourethral anastomosis (VUA) during robot-assisted laparoscopic radical prostatectomy (RARP).
OBJECTIVE: To evaluate a biparametric MRI (bpMRI)-based artificial intelligence (AI) model for the detection of local prostate cancer (PCa) recurrence in patients with radiotherapy history.
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 ...
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