AIMC Topic: Students, Medical
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Virtual Patient Simulations Using Social Robotics Combined With Large Language Models for Clinical Reasoning Training in Medical Education: Mixed Methods Study.
Journal of medical Internet research
Mar 3, 2025
BACKGROUND: Virtual patients (VPs) are computer-based simulations of clinical scenarios used in health professions education to address various learning outcomes, including clinical reasoning (CR). CR is a crucial skill for health care practitioners,...
Detecting Artificial Intelligence-Generated Versus Human-Written Medical Student Essays: Semirandomized Controlled Study.
JMIR medical education
Mar 3, 2025
BACKGROUND: Large language models, exemplified by ChatGPT, have reached a level of sophistication that makes distinguishing between human- and artificial intelligence (AI)-generated texts increasingly challenging. This has raised concerns in academia...
Integrating artificial intelligence into medical curricula: perspectives of faculty and students in South Korea.
Korean journal of medical education
Feb 26, 2025
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...
Utilization and perception of generative artificial intelligence by medical students in residency applications.
Journal of investigative medicine : the official publication of the American Federation for Clinical Research
Feb 24, 2025
After completing medical school in the United States, most students apply to residency programs to progress in their training. The residency application process contains numerous writing sections, including the personal statement, curriculum vitae, a...
The feasibility of using generative artificial intelligence for history taking in virtual patients.
BMC research notes
Feb 24, 2025
OBJECTIVE: This study aimed to design and develop a virtual patient program using generative Artificial Intelligence (AI) technology, providing medical students opportunities to practice history-taking with a chatbot. We evaluated the feasibility of ...
Navigating the integration of artificial intelligence in the medical education curriculum: a mixed-methods study exploring the perspectives of medical students and faculty in Pakistan.
BMC medical education
Feb 20, 2025
BACKGROUND: The integration of artificial intelligence (AI) into medical education is poised to revolutionize teaching, learning, and clinical practice. However, successful implementation of AI-based tools in medical curricula faces several challenge...
Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study.
JMIR medical education
Feb 20, 2025
BACKGROUND: With the rapid development of artificial intelligence technologies, there is a growing interest in the potential use of artificial intelligence-based tools like ChatGPT in medical education. However, there is limited research on the initi...
Factors affecting medical artificial intelligence (AI) readiness among medical students: taking stock and looking forward.
BMC medical education
Feb 18, 2025
BACKGROUND: Measuring artificial intelligence (AI) readiness among medical students is essential to assess how prepared future doctors are to work with AI technology. Therefore, this study aimed to examine the factors influencing AI readiness among m...
Generative Artificial Intelligence in Medical Education-Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey.
JMIR medical education
Feb 11, 2025
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
Feb 6, 2025
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...
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