OBJECTIVE: Robotic training (RT) using the da Vinci skills simulator and conventional training (CT) using a laparoscopic "training box" are both used to augment operative skills in minimally invasive surgery. The current study tests the hypothesis th...
INTRODUCTION: Robotic surgery is a rapidly growing area in surgery. In an era of emphasis on cost reduction, the question becomes how do you train residents in robotic surgery? The aim of this study was to determine if there was a difference in opera...
OBJECTIVES: To evaluate the response and interpretative capabilities of two pioneering artificial intelligence (AI)-based large language model (LLM) platforms in addressing ophthalmology-related multiple-choice questions (MCQs) from Turkish Medical S...
OBJECTIVE: Artificial intelligence (AI) shows promise in surgery, but its role in plastic surgery education remains underexplored. This review evaluates the current landscape of AI in plastic surgery education.
INTRODUCTION: The transference of technical skills from basic to complex procedures is assumed-but untested-during training and board certification. We examine whether resident performance on frequently performed, basic laparoscopic procedures can pr...
The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
Jun 1, 2025
INTRODUCTION: Recent advancements in large language model (LLM) artificial intelligence (AI) systems, like ChatGPT, have showcased ability in answering standardized examination questions, but their performance is variable. The goal of this study was ...
BACKGROUND: Artificial intelligence (AI) holds transformative potential for graduate medical education (GME), yet, a comprehensive exploration of AI's applications, perceptions, and limitations in GME is lacking.
Engaging in research during medical training is crucial for fostering critical thinking, enhancing clinical skills, and deepening understanding of medical science. Despite its importance, the shortage of physician-scientists lingers with many trainee...
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