AIMC Topic: Education, Medical

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Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Large language models (LLMs) are generative artificial intelligence models that create content on the basis of the data on which it was trained. Processing capabilities have evolved from text only to being multimodal including text, images, audio, an...

Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.

Current medical science
The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research th...

Artificial intelligence and pediatric surgery: where are we?

Pediatric surgery international
Here, we explore the transformative effects of artificial intelligence (AI) and large language models (LLMs), such as ChatGPT and GEMINI, on pediatric surgery, including preoperative, intraoperative, and postoperative care, as well as their influence...

Using artificial intelligence to provide a 'flipped assessment' approach to medical education learning opportunities.

Medical teacher
PURPOSE: Generative AI can potentially streamline the creation of practice exam questions. This study sought to evaluate medical students' confidence using generative AI for this purpose, and overall attitudes towards its use.

Using Generative Artificial Intelligence in Medical Education.

Academic medicine : journal of the Association of American Medical Colleges
Large Language Models (LLMs) are a type of generative artificial intelligence (AI) that produce realistic-sounding language in response to text prompts, giving AI the capability to simulate human discourse in various domains, including medical educat...

Artificial intelligence and pain medicine education: Benefits and pitfalls for the medical trainee.

Pain practice : the official journal of World Institute of Pain
OBJECTIVES: Artificial intelligence (AI) represents an exciting and evolving technology that is increasingly being utilized across pain medicine. Large language models (LLMs) are one type of AI that has become particularly popular. Currently, there i...

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...

Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence.

Journal of medical radiation sciences
The rapid advancement of technology has brought significant changes to various fields, including medical imaging (MI). This discussion paper explores the integration of computing technologies (e.g. Python and MATLAB), digital image processing (e.g. i...

The Potential of Artificial Intelligence Tools for Reducing Uncertainty in Medicine and Directions for Medical Education.

JMIR medical education
In the field of medicine, uncertainty is inherent. Physicians are asked to make decisions on a daily basis without complete certainty, whether it is in understanding the patient's problem, performing the physical examination, interpreting the finding...

Application of artificial intelligence in medical education: A meta-ethnographic synthesis.

Medical teacher
With the advancement of Artificial Intelligence (AI), it has had a profound impact on medical education. Understanding the advantages and issues of AI in medical education, providing guidance for educators, and overcoming challenges in the implementa...