Aging clinical and experimental research
Jun 19, 2023
OBJECTIVES: This study aimed to assess more clinical and pathological factors associated with prostate cancer (PCa) progression in high-risk PCa patients treated primarily with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph nod...
Robot-assisted VVF (RA-VVF) repair has the advantage of small cystotomy, precise dissection and minimal surrounding tissue trauma. Translation of this to better functional outcomes is not studied so far. This study aims to evaluate the quality of lif...
: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To define the rates of upgrading between biopsy specimens and final histology and their possible predict...
Robotic sacropexy (RSC) emerged in the last years as a valid alternative to the laparoscopic technique. However, the robotic approach is still limited by platform availability and concerns about cost-effectiveness. Recently, new robotic platforms jo...
To test the hypothesis of an association between the American Society of Anesthesiologists (ASA) physical status classification system and the risk of 90-days postoperative complications after robot-assisted radical prostatectomy (RARP), graded using...
Institutional operating room (OR) management is an established and indispensable component of organizational structures in most hospitals, independent of the level of care. In this role, OR management needs to consider both the high fixed costs of op...
BACKGROUND: Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorit...
Robot-assisted surgeries allows the surgeons to operate using remote-controlled robotic arms that are more effective in comparison to conventional (open/laparoscopic) surgeries. However, there is substantial lack of evidence on the effectiveness of r...
OBJECTIVES: We aimed at identifying the important variables for labour induction intervention and assessing the predictive performance of machine learning algorithms.
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