BACKGROUND: The learning curve of robotic surgical skills is poorly understood. There is a lack of data on the transferability of skills from open and laparoscopic training to robotic surgery. In this retrospective cohort study, we investigated the i...
INTRODUCTION/BACKGROUND: The surgical residency model assumes that upon completion, a surgeon is ready to practice and grow independently. However, many surgeons fail to improve after reaching proficiency, which in certain instances has correlated wi...
OBJECTIVE: To synthesize peer-reviewed evidence related to the use of artificial intelligence (AI) in surgical education DESIGN: We conducted and reported a scoping review according to the standards outlined in the Preferred Reporting Items for Syste...
OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents as robotic surgery becomes increasingly accessible. One general surgery residency program utilized a Delphi process to optimize a robotic surgery curri...
OBJECTIVE: The use of the da Vinci Robot has been fast growing in general surgery in the United States over the past decade. While the financial cost of robot-assisted procedures has been studied, there has been limited research on the educational co...
OBJECTIVE: Laparoscopic box simulators provide surgical residents a cost-effective and accessible learning tool to practice basic laparoscopic skills. Despite effective, high-fidelity simulators used in robotic surgery training, a similar low-fidelit...
OBJECTIVE: The role of robotic surgery in general surgery (GS) continues to expand. Several programs have integrated robotic-based simulators and models into surgical education; however, residents' robotic experience in the operating room is currentl...
OBJECTIVE: To determine barriers associated with the transition from bedside assistant to console surgeon for general surgery residents in the era of robotic surgery in general surgery training.
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, generating enormous datasets which can be further analyzed with machine learning algorithms. These advancements may increase the understanding, assessment ...