AI Medical Compendium Journal:
BMC medical education

Showing 41 to 50 of 101 articles

AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation.

BMC medical education
BACKGROUND: With artificial intelligence (AI) increasingly revolutionising medicine, this study critically evaluates the integration of large language models (LLMs), known for advanced text processing and generation capabilities, in medical ethics ed...

Empowering medical students with AI writing co-pilots: design and validation of AI self-assessment toolkit.

BMC medical education
BACKGROUND AND OBJECTIVES: Assessing and improving academic writing skills is a crucial component of higher education. To support students in this endeavor, a comprehensive self-assessment toolkit was developed to provide personalized feedback and gu...

Design strategies for artificial intelligence based future learning centers in medical universities.

BMC medical education
BACKGROUND: This study explores the acceptance of artificial intelligence(AI) tools in medical students and its influencing factors, thus providing theoretical basis and practical guidance for the construction of future learning centers in medical un...

Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia.

BMC medical education
BACKGROUND: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical educat...

A systematic review of the impact of artificial intelligence on educational outcomes in health professions education.

BMC medical education
BACKGROUND: Artificial intelligence (AI) has a variety of potential applications in health professions education and assessment; however, measurable educational impacts of AI-based educational strategies on learning outcomes have not been systematica...

Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study.

BMC medical education
OBJECTIVE: The aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education.

Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.

BMC medical education
BACKGROUND: The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. The study aimed to assess students' percepti...

Effect of feedback-integrated reflection, on deep learning of undergraduate medical students in a clinical setting.

BMC medical education
BACKGROUND: Reflection fosters self-regulated learning by enabling learners to critically evaluate their performance, identify gaps, and make plans to improve. Feedback, in turn, provides external insights that complement reflection, helping learners...

Exploring the role of moxibustion robots in teaching: a cross-sectional study.

BMC medical education
BACKGROUND: Artificial intelligence has gradually been used into various fields of medical education at present. Under the background of moxibustion robot teaching assistance, the study aims to explore the relationship and the internal mechanism betw...

Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.

BMC medical education
INTRODUCTION: Artificial intelligence technology has a wide range of application prospects in the field of medical education. The aim of the study was to measure the effectiveness of ChatGPT-assisted problem-based learning (PBL) teaching for urology ...