AIMC Topic: Education, Medical, Undergraduate

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Automated grading of anatomical objective structured practical examinations using decision trees: An artificial intelligence approach.

Anatomical sciences education
An Objective Structured Practical Examination (OSPE) is an effective and robust, but resource-intensive, means of evaluating anatomical knowledge. Since most OSPEs employ short answer or fill-in-the-blank style questions, the format requires many peo...

Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study.

BMC medical education
BACKGROUND: Emerging artificial intelligence (AI) technologies have diverse applications in medicine. As AI tools advance towards clinical implementation, skills in how to use and interpret AI in a healthcare setting could become integral for physici...

Robotic simulation experience in undergraduate medical education: a perspective.

Journal of robotic surgery
Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is anticipated to grow. The performance of robotic surgery has seen an exponential increase in recent years. This is largely due to the benefits offered by rob...

Medical education trends for future physicians in the era of advanced technology and artificial intelligence: an integrative review.

BMC medical education
BACKGROUND: Medical education must adapt to different health care contexts, including digitalized health care systems and a digital generation of students in a hyper-connected world. The aims of this study are to identify and synthesize the values th...

DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Providing medical trainees with effective feedback is critical to the successful development of their diagnostic reasoning skills. We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDS...

Conventional Laparoscopic vs Robotic Training: Which is Better for Naive Users? A Randomized Prospective Crossover Study.

Journal of surgical education
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...

An effective repetitive training schedule to achieve skill proficiency using a novel robotic virtual reality simulator.

Journal of surgical education
PURPOSE: A robotic virtual reality simulator (Mimic dV-Trainer) can be a useful training method for the da Vinci surgical system. Herein, we investigate several repetitive training schedules and determine which is the most effective.

A Randomized Controlled Trial of a Deep Language Learning Model-Based Simulation Tool for Undergraduate Medical Students in Surgery.

Journal of surgical education
INTRODUCTION: Effective communication is a critical skill for surgeons that commences often with history-taking. While simulation-based training is utilized to enhance these skills, recent advancements in artificial intelligence (AI), especially deep...

LLM-Generated multiple choice practice quizzes for preclinical medical students.

Advances in physiology education
Multiple choice questions (MCQs) are frequently used in medical education for assessment. Automated generation of MCQs in board-exam format could potentially save significant effort for faculty and generate a wider set of practice materials for stude...