AIMC Topic: Educational Measurement

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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...

Can robotic surgery be done efficiently while training residents?

Journal of surgical education
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...

Assessment of ChatGPT-3.5 performance on the medical genetics specialist exam.

Laboratory medicine
INTRODUCTION: Artificial intelligence is increasingly used in medical education and testing. ChatGPT, developed by OpenAI, has shown mixed results on various medical exams, but its performance in medical laboratory genetics remains unknown.

Can American Board of Surgery in Training Examinations be passed by Large Language Models? Comparative assessment of Gemini, Copilot, and ChatGPT.

The American surgeon
ObjectiveThis study aimed to evaluate the performance of large language models (LLMs) in answering questions from the American Board of Surgery In-Training Examination (ABSITE).MethodsMultiple choice ABSITE Quiz was entered into the most popular LLMs...

The answer may vary: large language model response patterns challenge their use in test item analysis.

Medical teacher
INTRODUCTION: The validation of multiple-choice question (MCQ)-based assessments typically requires administration to a test population, which is resource-intensive and practically demanding. Large language models (LLMs) are a promising tool to aid i...

Can AI Outperform Human Aspirants? Evaluating 3 ChatGPT Models on the Spanish FIR and BIR Specialized Health Examinations.

The journal of applied laboratory medicine
BACKGROUND: Artificial intelligence (AI) models are increasingly used in academic and clinical settings that require information synthesis and decision-making. This study explores the performance, accuracy, and reproducibility of 3 OpenAI models-GPT-...

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...

Performance of ChatGPT on optometry and vision science exam questions.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, presents both a challenge and an opportunity for educators. While LLMs can generate convincing written responses across a wide range of academic fields...

Leveraging ChatGPT for Enhancing Learning in Radiology Resident Education.

Academic radiology
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...