AI Medical Compendium Journal:
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Showing 1 to 10 of 41 articles

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

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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...

Twelve tips on applying AI tools in HPE scholarship using Boyer's model.

Medical teacher
AI has changed the landscape of health professions education. With the hype now behind us, we find ourselves in the phase of reckoning, considering what's next; where do we start and how can educators use these powerful tools for daily teaching and l...

Keeping humans in the loop efficiently by generating question templates instead of questions using AI: Validity evidence on Hybrid AIG.

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BACKGROUND: Manually creating multiple-choice questions (MCQ) is inefficient. Automatic item generation (AIG) offers a scalable solution, with two main approaches: template-based and non-template-based (AI-driven). Template-based AIG ensures accuracy...

Let's chat! Integrating ChatGPT in medical student assignments to enhance critical analysis.

Medical teacher
Advances in artificial intelligence (AI) are overtaking the progress in teaching and assessment. Traditional assignments, such as written reports and posters, have become obsolete as these can be created almost entirely using AI tools. As educators,...

Pedagogy and generative artificial intelligence: Applying the PICRAT model to Google NotebookLM.

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Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to evaluate these new tools and to guide them in pedagogically-sound integration in the curriculum. PI...

How do medical students perceive the role of artificial intelligence in management of gastroesophageal reflux disease?

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BACKGROUND: Artificial intelligence (AI) has significantly revolutionized the diagnosis and treatment of various medical and surgical conditions, including gastroesophageal reflux disease (GORD). AI has the potential to enhance diagnostic and treatme...

Perspectives and experiences of health sciences academics regarding ChatGPT: A qualitative study.

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PURPOSE: This study aimed to explore the perspectives and experiences of healthcare academics regarding the impact of ChatGPT, an artificial intelligence (AI)-supported language model, on education and research.

Utility of large language models for creating clinical assessment items.

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PURPOSE: To compare student performance, examiner perceptions and cost of GPT-assisted (generative pretrained transformer-assisted) clinical and professional skills assessment (CPSAs) items against items created using standard methods.

Utilizing natural language processing to analyze student narrative reflections for medical curriculum improvement.

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MOTIVATION: Medical curricula improvement is an ongoing process to keep material relevant and improve the student's learning experience to better prepare them for patient care. Many programs utilize end-of-year evaluations, but these frequently have ...