AIMC Topic: Curriculum

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Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners.

JMIR medical education
Generative artificial intelligence (GenAI) presents novel approaches to enhance motivation, curriculum structure and development, and learning and retrieval processes for both learners and instructors. Though a focus for this emerging technology is a...

Counting coins in the dark-Austrian, German, and Swiss medical students' perceptions of radiology.

European radiology
OBJECTIVES: To investigate the overall attitude of medical students towards radiology, their perceptions of the university curriculum, the clinical relevance, and the prospects within the specialty, as well as identify reasons for and against choosin...

Exploring Curriculum Considerations to Prepare Future Radiographers for an AI-Assisted Health Care Environment: Protocol for Scoping Review.

JMIR research protocols
BACKGROUND: The use of artificial intelligence (AI) technologies in radiography practice is increasing. As this advanced technology becomes more embedded in radiography systems and clinical practice, the role of radiographers will evolve. In the cont...

More intelligent faculty development: Integrating GenAI in curriculum development programs.

Medical teacher
EDUCATIONAL CHALLENGE: Generative Artificial Intelligence (GenAI) has rapidly emerged as a potentially transformative tool in education. Faculty development (FD) programs, particularly in curriculum development (CD), are ideal settings for incorporat...

Integrating artificial intelligence into medical curricula: perspectives of faculty and students in South Korea.

Korean journal of medical education
PURPOSE: With the accelerated adoption of artificial intelligence (AI) in medicine, the integration of AI education into medical school curricula is gaining significant attention. This study aimed to gather the perceptions of faculty members and stud...

Development of Evidence-Based Guidelines for the Integration of Generative AI in University Education Through a Multidisciplinary, Consensus-Based Approach.

European journal of dental education : official journal of the Association for Dental Education in Europe
INTRODUCTION: The introduction highlights the transformative impact of generative artificial intelligence (GenAI) on higher education (HE), emphasising its potential to enhance student learning and instructor efficiency while also addressing signific...

Foundations of AI for future physicians: A practical, accessible curriculum.

Medical teacher
WHAT WAS THE EDUCATIONAL CHALLENGE?: The integration of machine learning (ML) and large language models (LLMs) into healthcare is transforming diagnostics, patient care, and administrative workflows. However, most clinicians lack the foundational kno...

Generative Artificial Intelligence in Medical Education-Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey.

JMIR medical education
BACKGROUND: Interest has recently increased in generative artificial intelligence (GenAI), a subset of artificial intelligence that can create new content. Although the publicly available GenAI tools are not specifically trained in the medical domain...

Which curriculum components do medical students find most helpful for evaluating AI outputs?

BMC medical education
INTRODUCTION: The risk and opportunity of Large Language Models (LLMs) in medical education both rest in their imitation of human communication. Future doctors working with generative artificial intelligence (AI) need to judge the value of any output...