Journal of the American College of Radiology : JACR
Feb 21, 2018
PURPOSE: Advances in artificial intelligence applied to diagnostic radiology are predicted to have a major impact on this medical specialty. With the goal of establishing a baseline upon which to build educational activities on this topic, a survey w...
OJECTIVE: Ultrasound guided central venous catheterization (CVC) is a common surgical procedure with complication rates ranging from 5 to 21 percent. Training is typically performed using manikins that do not simulate anatomical variations such as ob...
Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
May 27, 2015
BACKGROUND: Robotic technology is increasingly prevalent in bariatric surgery, yet there are national deficiencies in exposure of surgical residents to robotic techniques.
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...
OBJECTIVE: To assess the current state of artificial intelligence (AI) policies, educational resources, and perceptions within U.S. plastic surgery residency programs from the perspectives of program directors (PDs) and residents.
RATIONALE AND OBJECTIVES: Chat generative pre-trained transformer (ChatGPT) is a generative artificial intelligence chatbot based on a LLM at the forefront of technological development with promising applications in medical education. This study aims...
Journal of cardiothoracic and vascular anesthesia
Sep 1, 2025
This special article is the fourth in an annual series for the Journal of Cardiothoracic and Vascular Anesthesia that highlights significant literature from the world of graduate medical education that was published over the past year. Some of the ma...
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...
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