Neuroanatomy-phobia, the fear of learning about the nervous system’s structure, has long hindered students’ ability to readily engage with educational material in fields such as neuroscience and neurosurgery. Recent advancements in artificial intelligence (AI) offer promising solutions to address this challenge. This study examines the application of AI tools and technologies in reducing neuroanatomy-phobia and enhancing learning experiences. Through a systematic review of studies published between 2017 and 2024, the research evaluates the effectiveness of AI-driven interventions, identifying key areas such as personalised learning, virtual reality and AI tutors. Findings suggest that AI’s adaptive learning systems and immersive technologies, such as augmented and virtual reality, significantly improve students’ understanding and performance in neuroanatomy. Additionally, AI-powered virtual tutors and gamification techniques have shown potential in engaging students and reducing anxiety. However, ethical considerations regarding privacy, data security and content accuracy remain critical. Thus, the integration of AI into neuroanatomy education holds great promise, but addressing these concerns will be essential to its successful implementation. AI offers a transformative approach to neuroanatomy education, providing tailored, supportive learning environments that could greatly benefit future medical students.

Keywords: Neuroanatomyphobia, Medical education, Artificial intelligence, Personalized learning, Gamification.