BACKGROUND: The study aim was to report the results of Retzius-Sparing robot-assisted radical Prostatectomy (RSP) in high-risk prostate cancer (HR-PCa) patients in a multicentric setting of expert surgeons and to analyze predictors of positive surgic...
BACKGROUND: Remote surgery social implementation necessitates achieving low latency and highly reliable video/operation signal transmission over economical commercial networks. However, with commercial lines, communication bandwidth often fluctuates ...
INTRODUCTION: Warm ischemia time (WIT) is a primary concern for robot-assisted laparoscopic partial nephrectomy (RALPN) patients because longer WIT is significantly associated with postoperative deteriorating kidney function. Tumor complexity, determ...
OBJECTIVE: The experience of performing robot-assisted partial nephrectomy (RAPN) is associated with better surgical outcomes. However, surgeon's generation may impact surgical outcomes. We evaluated the perioperative outcomes of RAPN between first- ...
BACKGROUND: Given the challenges of teaching in robotic operating rooms, we sought to investigate the language of perceptual expertise used by robotic surgeons, in an effort to improve current approaches to robotic training.
Artificial intelligence (AI) focuses on processing and interpreting complex information as well as identifying relationships and patterns among complex data. Artificial intelligence- and machine learning (ML)-driven predictions have shown promising p...
BACKGROUND: Robotic technology affords surgeons many novel and useful features, but two stereotypes continue to prevail: robotic surgery is expensive and inefficient. To identify educational opportunities and improve operative efficiency, we analyzed...
Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether they will successfully c...
Surgical complications pose significant challenges for surgeons, patients, and health care systems as they may result in patient distress, suboptimal outcomes, and higher health care costs. Artificial intelligence (AI)-driven models have revolutioniz...