AIMC Topic: Students, Medical

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Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study.

JMIR formative research
BACKGROUND: The popularity of large language models (LLMs) has grown exponentially across health care. Despite the wealth of literature on proposed applications in medical education, there remains a critical gap regarding their real-world use, benefi...

Utilization of AI Among Medical Students and Development of AI Education Platforms in Medical Institutions: Cross-Sectional Study.

JMIR human factors
BACKGROUND: The emergence of artificial intelligence (AI) is driving digital transformation and reshaping medical education in China. Numerous medical schools and institutions are actively implementing AI tools for case-based learning, literature ana...

AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) literacy is increasingly essential for medical students. However, without systematic characterization of the relevant components, designing targeted medical education interventions may be challenging.

Comparing AI-Assisted Problem-Solving Ability With Internet Search Engine and e-Books in Medical Students With Variable Prior Subject Knowledge: Cross-Sectional Study.

JMIR medical education
BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT (OpenAI), is rapidly influencing medical education. Its effectiveness for students with varying levels of prior knowledge remains underexplored.

Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study.

JMIR formative research
BACKGROUND: Multiple-choice questions (MCQs) are essential in medical education for assessing knowledge and clinical reasoning. Traditional MCQ development involves expert reviews and revisions, which can be time-consuming and subject to bias. Large ...

Death of the Personal Statement: Qualitative Comparison Between Human-Authored and Artificial Intelligence-Generated Medical School Admissions Essays.

Journal of the American College of Surgeons
BACKGROUND: Medical school admissions committees use personal statements as subjective measures of applicants' values, motivations, and experiences. Students at varying levels of education report that they would or do use artificial intelligence (AI)...

Artificial intelligence and academic writing questionnaire (AI-AWQ): development and validation among medical students' experiences using exploratory factor analysis.

BMC medical education
INTRODUCTION: This study aimed to develop and validate the Artificial Intelligence and Academic Writing Questionnaire (AI-AWQ) to assess participants' perceptions with AI. The primary focus was to explore the factors that influence attitudes toward A...

Large Language Model-Based Patient Simulation to Foster Communication Skills in Health Care Professionals: User-Centered Development and Usability Study.

JMIR medical education
BACKGROUND: Case-based learning using standardized patients is a key method for teaching communication skills in medicine. Besides logistical and financial hurdles, standardized patients portrayed by actors cannot cover the complete diversity of soci...

The Validity of Generative Artificial Intelligence in Evaluating Medical Students in Objective Structured Clinical Examination: Experimental Study.

JMIR formative research
BACKGROUND: The Objective Structured Clinical Examination (OSCE) has been widely used to evaluate students in medical education. However, it is resource-intensive, presenting challenges in implementation. We hypothesized that generative artificial in...

Artificial intelligence based personalized student feedback system -Sisu Athwala' to enhance exam performance of medical undergraduates.

PloS one
BACKGROUND: In medical education, mentoring and feedback play crucial roles. Providing feedback on exam performance is a vital component as it allows students to improve. Feedback has to be tailor made and specific to the individual student. This nee...