ROLE OF AI IN TRANSFORMING ANATOMY EDUCATION—A REVIEW ARTICLE

Abstract

Anatomy education, a cornerstone of medical training, is witnessing a transformative shift with the integration of Artificial Intelligence (AI). This review explores the impact of AI on anatomy education, highlighting its potential to revolutionize traditional methods. AI technologies such as machine learning, augmented reality (AR), and virtual reality (VR) offer interactive, personalized, and accessible learning experiences. These tools enable dynamic visualization and a deeper understanding of complex anatomical structures, addressing challenges like limited access to cadavers and variability in teaching quality. AR and VR allow immersive exploration of 3D anatomical models, enhancing student engagement and retention. Additionally, AI-driven systems, including Convolutional Neural Networks (CNNs) and Intelligent Tutoring Systems (ITS), provide real-time feedback and tailored learning experiences. Despite these benefits, challenges and risk persist, including high implementation costs, data privacy concerns, and resistance to changing traditional teaching methods. Ethical considerations related to biases in AI algorithms and the accuracy of AI-generated content must also be addressed. This review underscores AI's potential to elevate the standards of anatomy education, preparing future healthcare professionals with enhanced knowledge and skills while promoting equity in learning outcomes.