BACKGROUND: Robot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different underlying types of learning curves have not been comparatively analyzed to date. This study aimed to determine and compare the impact that the learni...
BACKGROUND: Current evaluation methods for robotic-assisted surgery (ARCS or GEARS) are limited to 5-point Likert scales which are inherently time-consuming and require a degree of subjective scoring. In this study, we demonstrate a method to break d...
BACKGROUND: Little data are available to assess the learning curve for robot-assisted surgery on choledochal cysts. The aim of this current study is to investigate the characteristics of the learning curve for robot-assisted choledochal cyst excision...
BACKGROUND AND AIMS: EUS is considered one of the most sensitive modalities for pancreatic cancer detection, but it is highly operator-dependent and the learning curve is steep. In this study, we constructed a system named BP MASTER (pancreaticobilia...
BACKGROUND: The da Vinci single-port (SP) robot is a new instrument for transoral robotic surgery (TORS) in oropharyngeal cancers (OPSCCs). We describe one-year SP surgical outcomes and compare them to da Vinci Si outcomes.
BACKGROUND: Several authors claimed that the Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) needs a prolonged learning curve, and outcomes during this phase could be suboptimal.
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