Keywords
Abstract
The integration of Artificial Intelligence (AI) into medical education has revolutionized the traditional methods of teaching complex biological sciences, particularly Anatomy and Physiology. This article explores the transformative role of AI-powered tools—ranging from 3D virtual dissection tables and Augmented Reality (AR) to Adaptive Learning Platforms—in enhancing the pedagogical experience for medical students. Traditional cadaveric dissection, while foundational, faces challenges such as high costs, ethical concerns, and limited accessibility. AI-driven simulations address these gaps by providing highly interactive, repeatable, and personalized learning environments. These tools utilize algorithms to analyze student performance, offering tailored feedback and focusing on areas where the learner struggles with physiological mechanisms or anatomical structures. Furthermore, the article discusses how Generative AI and Natural Language Processing (NLP) assist in creating complex clinical scenarios that bridge the gap between theoretical knowledge and clinical practice. The findings suggest that AI does not replace traditional methods but acts as a powerful adjunct that improves spatial visualization, long-term retention, and student engagement in pre-clinical medical education.
References
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