AIMC Topic: Educational Measurement
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The role of artificial intelligence in medical education: an evaluation of Large Language Models (LLMs) on the Turkish Medical Specialty Training Entrance Exam.
BMC medical education
Apr 25, 2025
OBJECTIVE: To evaluate the performance of advanced large language models (LLMs)-OpenAI-ChatGPT 4, Google AI-Gemini 1.5 Pro, Cohere-Command R + and Meta AI-Llama 3 70B on questions from the Turkish Medical Specialty Training Entrance Exam (2021, 1st s...
Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination.
Scientific reports
Apr 23, 2025
This study aims to compare and evaluate the performance of GPT-3.5, GPT-4, and GPT-4o in the 2020 and 2021 Chinese National Medical Licensing Examination (NMLE), exploring their potential value in medical education and clinical applications. Six hund...
Randomized Controlled Study on the Impact of Problem-Based Learning Combined With Large Language Models on Critical Thinking Skills in Nursing Students.
Nurse educator
Apr 22, 2025
BACKGROUND: The integration of Large Language Models (LLMs) into nursing education presents a novel approach to enhancing critical thinking skills. This study evaluated the effectiveness of LLM-assisted Problem-Based Learning (PBL) compared to tradit...
Artificial intelligence performance in answering multiple-choice oral pathology questions: a comparative analysis.
BMC oral health
Apr 15, 2025
BACKGROUND: Artificial intelligence (AI) has rapidly advanced in healthcare and dental education, significantly impacting diagnostic processes, treatment planning, and academic training. The aim of this study is to evaluate the performance difference...
Assessing ChatGPT 4.0's Capabilities in the United Kingdom Medical Licensing Examination (UKMLA): A Robust Categorical Analysis.
Scientific reports
Apr 15, 2025
Advances in the various applications of artificial intelligence will have important implications for medical training and practice. The advances in ChatGPT-4 alongside the introduction of the medical licensing assessment (MLA) provide an opportunity ...
Large Language Models in Biochemistry Education: Comparative Evaluation of Performance.
JMIR medical education
Apr 10, 2025
BACKGROUND: Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs), have started a new era of innovation across various fields, with medicine at the forefront of this technological revolution. Many studies i...
Assessing the performance of ChatGPT-4o on the Turkish Orthopedics and Traumatology Board Examination.
Joint diseases and related surgery
Apr 5, 2025
OBJECTIVES: This study aims to assess the overall performance of ChatGPT version 4-omni (GPT-4o) on the Turkish Orthopedics and Traumatology Board Examination (TOTBE) using actual examinees as a reference point to evaluate and compare the performance...
Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG.
JMIR formative research
Apr 4, 2025
BACKGROUND: Template-based automatic item generation (AIG) is more efficient than traditional item writing but it still heavily relies on expert effort in model development. While nontemplate-based AIG, leveraging artificial intelligence (AI), offers...
Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE.
JAMA network open
Apr 1, 2025
IMPORTANCE: Large language models (LLMs) are being implemented in health care. Enhanced accuracy and methods to maintain accuracy over time are needed to maximize LLM benefits.
Accuracy of LLMs in medical education: evidence from a concordance test with medical teacher.
BMC medical education
Mar 26, 2025
BACKGROUND: There is an unprecedented increase in the use of Generative AI in medical education. There is a need to assess these models' accuracy to ensure patient safety. This study assesses the accuracy of ChatGPT, Gemini, and Copilot in answering ...
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