Augmented Reality (AR) in Medical Training: AI-Powered Simulations for Enhanced Learning Experiences

Selin Kılıç

doi:10.62802/c6xk2k47

Authors

Selin Kılıç Author https://orcid.org/0009-0007-2144-227X

DOI:

https://doi.org/10.62802/c6xk2k47

Keywords:

Augmented Reality, Artificial Intelligence, Medical Training, AI-Powered Simulations, Immersive Learning, Surgical Education, Medical Pedagogy, Adaptive Learning, Virtual Patients, Healthcare Innovation

Abstract

Medical training has historically relied on traditional pedagogical approaches, including textbooks, cadaver dissections, and supervised clinical experiences. However, the emergence of Augmented Reality (AR) integrated with Artificial Intelligence (AI) is transforming medical education by offering immersive, interactive, and adaptive learning environments. AI-powered AR simulations provide real-time feedback, predictive analytics, and personalized learning pathways, thereby enhancing skill acquisition, decision-making capabilities, and procedural proficiency. These systems can replicate complex surgical procedures, anatomical explorations, and diagnostic assessments with high fidelity, reducing the dependency on physical resources and mitigating patient risk. Furthermore, AI-driven AR applications facilitate collaborative learning, enabling remote training and standardized assessments. The integration of AR and AI fosters a dynamic educational paradigm that enhances knowledge retention and practical competence, ultimately contributing to improved healthcare outcomes. This paper explores the technological advancements, pedagogical benefits, and future prospects of AI-powered AR simulations in medical training, emphasizing their potential to revolutionize medical education and clinical practice.

References

Altintas, L., & Sahiner, M. (2024). Transforming medical education: the impact of innovations in technology and medical devices. Expert Review of Medical Devices, 21(9), 797-809.

Akhtar, Z. B. (2024). Artificial Intelligence (AI) and Extended Reality (XR): A Biomedical Engineering Perspective Investigation Analysis. Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, 6(3).

Egunjobi, D., & Adeyeye, O. J. (2024). Revolutionizing Learning: The Impact of Augmented Reality (AR) and Artificial Intelligence (AI on Education). ResearchGate, Oct.

Guraya, S. Y. (2024). Transforming simulation in healthcare to enhance interprofessional collaboration leveraging big data analytics and artificial intelligence. BMC Medical Education, 24(1), 941.

Hiran, K. K., Doshi, R., & Patel, M. (Eds.). (2024). Applications of Virtual and Augmented Reality for Health and Wellbeing. IGI Global.

Lin, P. Y., Chen, T. C., Lin, C. J., Huang, C. C., Tsai, Y. H., Tsai, Y. L., & Wang, C. Y. (2024). The use of augmented reality (AR) and virtual reality (VR) in dental surgery education and practice: A narrative review. Journal of Dental Sciences.

Oyekunle, D., Claude, B. E. A., Waliu, A. O., Adekunle, T. S., & Matthew, U. O. (2024). Cloud based adaptive learning system: virtual reality and augmented reality assisted educational pedagogy development on clinical simulation. Journal of Digital Health, 49-62.

Saudagar, A. K. J., Kumar, A., & Khan, M. B. (2024). Mediverse Beyond Boundaries: A Comprehensive Analysis of AR and VR Integration in Medical Education for Diverse Abilities. Journal of Disability Research, 3(1), 20230066.

Thavasimuthu, R., Abinaya, K., Divya, G., & Latha, G. C. P. (2024). Artificial intelligence-based augmented reality and virtual reality models for healthcare industry. In Metaverse Technologies in Healthcare (pp. 85-101). Academic Press.

Toshmurodovich, K. Z. (2024). ADVANCING MEDICAL EDUCATION THROUGH TECHNOLOGY INTEGRATION: A COMPREHENSIVE ANALYSIS OF VIRTUAL REALITY, AUGMENTED REALITY, AND ARTIFICIAL INTELLIGENCE INTEGRATION. EDUCATION SCIENCE AND INNOVATION IDEAS IN THE WORLD, 46(12), 153-158.