AIMC Topic: Education, Medical

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Embracing the Future of Medical Education With Large Language Model-Based Virtual Patients: Scoping Review.

Journal of medical Internet research
BACKGROUND: In recent years, large language models (LLMs) have experienced rapid development. LLM-based virtual patients have begun to gain attention, offering new opportunities for simulations in medical education.

Vibe Coding in nephrology education: clinician-led, AI-assisted development of open-source interactive learning tools.

Renal failure
Medical education increasingly incorporates digital technologies; however, many tools remain passive and text-based. is a clinician-led design framework that embeds expert reasoning and the cognitive 'feel' of clinical decision-making into interacti...

Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?

Journal of medical Internet research
Generative artificial intelligence (GenAI) enables the production of coherent and contextually relevant text by processing large-scale linguistic datasets. Tools such as ChatGPT, Gemini, Claude, and LLaMA are increasingly integrated into medical educ...

Performance of AI Chatbots on Head and Neck Pathology Board-Style Exam Questions and Guidelines for Responsible Use.

Head and neck pathology
The promising integration of artificial intelligence (AI), particularly large language models (LLMs) or AI chatbots, into medical education and practice necessitates rigorous evaluation of their capabilities. While chatbot performance has been assess...

Beyond Lectures: Reimagining Psychiatric Didactics for the Age of AI.

JMIR medical education
The increasing use of generative large language models (LLMs) necessitates a fundamental reevaluation of traditional didactic lectures in medical education, particularly within psychiatry. The specialty's inherent diagnostic ambiguity, biopsychosocia...

Trends analysis and future study of medical and pharmacy education: a scoping review.

BMC medical education
BACKGROUND: This scoping review aims to provide a comprehensive analysis of emerging trends and future developments in medical and pharmacy education, addressing the need to adapt educational approaches to the rapidly evolving healthcare landscape.

Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review.

JMIR medical education
BACKGROUND: Nowadays, generative artificial intelligence (GAI) drives medical education toward enhanced intelligence, personalization, and interactivity. With its vast generative abilities and diverse applications, GAI redefines how educational resou...

The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review.

PloS one
With the rapid development of artificial intelligence (AI), large language models (LLMs), such as ChatGPT have shown potential in medical education, offering personalized learning experiences. However, this integration raises ethical concerns, includ...

From Hype to Implementation: Embedding GPT-4o in Medical Education.

JMIR medical education
The release of GPT-4 Omni (GPT-4o), an advanced multimodal generative artificial intelligence (AI) model, generated substantial enthusiasm in the field of higher education. However, one year later, medical education continues to face significant chal...

ChatGPT in Medical Education: Bibliometric and Visual Analysis.

JMIR medical education
BACKGROUND: ChatGPT is a generative artificial intelligence-based chatbot developed by OpenAI. Since its release in the second half of 2022, it has been widely applied across various fields. In particular, the application of ChatGPT in medical educat...