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...
Wiadomosci lekarskie (Warsaw, Poland : 1960)
Jan 1, 2024
OBJECTIVE: Aim: The paper studies the attitude to critical thinking, academic integrity and the Artificial Intelligence use of the Ukrainian medical PhD students.
The use of a robotic surgical platform has become common place in thoracic surgery programs throughout the United States. Formal training paradigms need to be reevaluated to allow for effective and efficient training of thoracic surgery residents and...
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanc...
BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...
The Journal of bone and joint surgery. American volume
Dec 4, 2019
BACKGROUND: With the emergence of competency-based training, the current evaluation scheme of surgical skills is evolving to include newer methods of assessment and training. Artificial intelligence through machine learning algorithms can utilize ext...