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...
Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Jan 1, 2023
The duration of undergraduate study was extended in 2006 to six years for pharmaceutical education aimed at training highly qualified pharmacists. Clinical internship in current pharmaceutical education is positioned as being important for fostering ...
RATIONALE AND OBJECTIVES: Our goal was to create an artificial intelligence (AI) training curriculum for residents that taught them to create, train, evaluate and refine deep learning (DL) models. Hands-on training of models was emphasized and didact...
OBJECTIVE: Spine robots have seen increased utilization over the past half decade with the introduction of multiple new systems. Market research expects this expansion to continue over the next half decade at an annual rate of 20%. However, because o...
Female pelvic medicine & reconstructive surgery
Jan 1, 2022
OBJECTIVE: We sought to validate a simulation model for robotic sacrocolpopexy (RSCP) that includes multiple steps: presacral dissection/mesh attachment, vaginal mesh attachment, and peritoneal closure.
Academic medicine : journal of the Association of American Medical Colleges
Nov 1, 2021
PURPOSE: Residency programs face overwhelming numbers of residency applications, limiting holistic review. Artificial intelligence techniques have been proposed to address this challenge but have not been created. Here, a multidisciplinary team sough...
Academic medicine : journal of the Association of American Medical Colleges
Oct 1, 2021
PURPOSE: Learning is markedly improved with high-quality feedback, yet assuring the quality of feedback is difficult to achieve at scale. Natural language processing (NLP) algorithms may be useful in this context as they can automatically classify la...
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...