"THE AGE OF CODE AND SIMULATION. HOW AI IS TRANSFORMING MEDICAL EDUCATION": Commentaries/Descriptive, declarative (Preprint)

Abstract

<sec> <title>UNSTRUCTURED</title> Generative Artificial Intelligence has raised profound questions about learning models and teaching methodologies, including those in medicine. Universities are currently evolving and adapting to these changes, which requires a rapid capacity to adapt to a new paradigmatic context in knowledge and education. This article summarizes the main current lines of development impacting medical education, including new teaching approaches, emerging capabilities derived from a digital and interconnected world, simulation as a learning method, the challenges inherent to scientific and academic research and publishing, tutoring and personalized student monitoring systems, and the integration of certain AI tools into medical practice—tools that students are expected to use. While the topic is broad, our objective is to describe the current state of transformation and adaptation to AI, highlighting the areas that require further development and improvement in teaching. It is still unknown which of these changes will persist and which could ultimately be discarded. </sec>

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