Medical Extended Reality for Radiology Education and Training

Abstract

Medical extended reality (MXR), encompassing augmented reality, virtual reality, and mixed reality (MR), presents a novel paradigm in radiology training by offering immersive, interactive, and realistic learning experiences in health care. Although traditional educational tools in the field of radiology are essential, it is necessary to capitalize on the innovative and emerging educational applications of extended reality (XR) technologies. At the most basic level of learning anatomy, XR has been extensively used with an emphasis on its superiority over conventional learning methods, especially in spatial understanding and recall. For imaging interpretation, XR has fostered the concepts of virtual reading rooms by enabling collaborative learning environments and enhancing image analysis and understanding. Moreover, image-guided interventions in interventional radiology have witnessed an uptick in XR utilization, illustrating its effectiveness in procedural training and skill acquisition for medical students and residents in a safe and risk-free environment. However, there remain several challenges and limitations for XR in radiology education, including technological, economic, and ergonomic challenges and and integration into existing curricula. This review explores the transformative potential of MXR in radiology education and training along with insights on the future of XR in radiology education, forecasting advancements in immersive simulations, artificial intelligence integration for personalized learning, and the potential of cloud-based XR platforms for remote and collaborative training. In summation, MXR’s burgeoning role in reshaping radiology education offers a safer, scalable, and more efficient training model that aligns with the dynamic healthcare landscape.