Artificial Intelligence in Anatomy Teaching and Learning: A Literature Review

Abstract Medical anatomy is an essential preclinical course for medical undergraduates and provides a fundamental basis for various medical and surgical specializations. Frequently, students encounter difficulties when it comes to studying and comprehending the subject matter. Several pedagogical strategies have been devised and utilized throughout the years to enhance the process of teaching and learning in the field of anatomy. Artificial intelligence (AI) is now transforming anatomy education by utilizing modern technologies such as virtual reality, augmented reality, machine learning, and AI-powered evaluation tools. Recent research explored the AI in anatomy teaching, emphasizing its advantages and constraints. This review provides a thorough overview of the latest developments in the use of AI in anatomical education. It explores how AI-powered technologies can improve the educational experience for anatomy students, including personalized learning, automated grading, and intelligent tutoring systems, and examines the effects of these technologies on student engagement, learning outcomes, and teaching methods.