AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Education, Medical

Showing 31 to 40 of 229 articles

Clear Filters

Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education.

Academic medicine : journal of the Association of American Medical Colleges
In this article, the authors propose a repurposing of the concept of entrustment to help guide the use of artificial intelligence (AI) in health professions education (HPE). Entrustment can help identify and mitigate the risks of incorporating genera...

Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training.

BMC medical education
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning ...

Artificial intelligence education in medical imaging: A scoping review.

Journal of medical imaging and radiation sciences
BACKGROUND: The rise of Artificial intelligence (AI) is reshaping healthcare, particularly in medical imaging. In this emerging field, clinical imaging personnel need proper training. However, formal AI education is lacking in medical curricula, coup...

Integrating Generative Artificial Intelligence Into Medical Education: Curriculum, Policy, and Governance Strategies.

Academic medicine : journal of the Association of American Medical Colleges
The rapid advancement of generative artificial intelligence (GAI) is poised to revolutionize medical education, clinical decision-making, and health care workflow. Despite considerable interest and a surfeit of newly available tools, medical educator...

Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) has become widely applied across many fields, including medical education. Content validation and its answers are based on training datasets and the optimization of each model. The accuracy of large language m...

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...

Advancements of AI in healthcare: a comprehensive review of ChatGPT's applications and challenges.

JPMA. The Journal of the Pakistan Medical Association
The rapid integration of artificial intelligence into healthcare has introduced transformative possibilities and challenges. The current narrative review was planned to explore diverse applications of Chat Generative Pre-Trained Transformer (ChatGPT)...

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...

A Symbolic AI Approach to Medical Training.

Journal of medical systems
In traditional medical education, learners are mostly trained to diagnose and treat patients through supervised practice. Artificial Intelligence and simulation techniques can complement such an educational practice. In this paper, we present GLARE-E...

Ethical engagement with artificial intelligence in medical education.

Advances in physiology education
The integration of large language models (LLMs) in medical education offers both opportunities and challenges. While these artificial intelligence (AI)-driven tools can enhance access to information and support critical thinking, they also pose risks...