JMIR Publications

ABSTRACT

Artificial intelligence (AI) is revolutionizing medical education by enabling personalized, interactive, and efficient learning experiences. Powered by technologies such as natural language processing, machine learning, and generative models, AI supports a wide range of educational tasks from literature synthesis and virtual simulations to curriculum design, automated assessments, and academic writing. These innovations enhance clinical reasoning, streamline administrative processes, and optimize learner feedback across diverse educational settings. However, the integration of AI also presents critical challenges, including ethical concerns, data privacy risks, algorithmic bias, and unequal access in low-resource environments. Ensuring the responsible and equitable use of AI in medical education requires robust digital literacy, high-quality data, and collaborative regulatory frameworks. By embracing interdisciplinary collaboration and ethical integration, AI holds the potential to advance medical training while preserving humanistic values and improving global health education outcomes.