Diagnostic histopathology faces increasing demands due to aging populations and expanding healthcare programs. Semi-automated diagnostic systems employing deep learning methods are one approach to alleviate this pressure. The learning models for hist...
Prostate cancer and prostatic diseases
Sep 29, 2023
BACKGROUND: Robot-Assisted Simple Prostatectomy (RASP) has emerged as a promising alternative in the treatment of benign prostatic obstruction (BPO). However, there is currently a lack of comparative studies evaluating different robotic platforms for...
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).