首页|Data on Prostatectomy Reported by Alessandro Pissavini and Colleagues (From simu lation to surgery, advancements and challenges in robotic training for radical p rostatectomy: a narrative review)

Data on Prostatectomy Reported by Alessandro Pissavini and Colleagues (From simu lation to surgery, advancements and challenges in robotic training for radical p rostatectomy: a narrative review)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Prostatectom y is the subject of a report. According to news reporting from Melle, Belgium, b y NewsRx journalists, research stated, “The landscape of surgical training is un dergoing transformative changes, especially in the realm of robot-assisted proce dures like radical prostatectomy (RARP). This narrative review explores the evol ving methodologies and innovations in RARP training, emphasizing the shift from traditional training approaches, such as the Halsted method, to more scientific methods like proficiency-based progression (PBP).” The news correspondents obtained a quote from the research, “The rationale for t he review stems from the increased adoption of robot-assisted surgery and the re sulting increase in associated adverse events reported in the United States. The Patient Safety in Robotic Surgery (SAFROS) project initiated by the European Co mmission of the World Health Organization emphasized the importance of structure d training programs for robotic surgeons. However, the review points out the lim ited availability of standardized curricula for RARP training, leading to non-ho mogeneous training worldwide. PubMed was searched primarily for the following to pics: training AND robotic AND prostatectomy; robotic training AND prostatectomy AND learning; simulator AND robotic AND prostatectomy. Literature was selected based on historical significance and landmark studies as well as publications pu blished after 2000. References from select studies were additionally included. T he advent of robotic surgery, especially in RARP, demands unique skills necessit ating specialized training. The review delves into the diverse stages of robotic surgery training, starting with e-learning and progressing through virtual real ity simulators, dry and wet laboratories, culminating in modular console trainin g. Each training stage plays a critical role, addressing the challenges posed by new technologies and tools. The ever-evolving landscape of surgical training un derscores the critical need for globally standardized, effective, and accessible programs. PBP emerges as a promising methodology, and technological advancement s open new possibilities for telementoring via platforms like 5G.”

MelleBelgiumEuropeEmerging Technol ogiesHealth and MedicineMachine LearningMale Urologic Surgical ProceduresMen’s HealthProstatectomyRobotRoboticsRobotsSurgery

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.20)