Abstract: Journal of Medical Images and Medical Education Research

Abstract:
The convergence of Artificial Intelligence (AI) and Extended Reality (XR) has ushered in a transformative era in Biomedical Engineering, offering significant advancements in diagnostics, treatment, and education. This review aims to explore the integration of AI and XR technologies, highlighting their collective potential to rev olutionize healthcare practices while addressing associated challenges. AI, with its adaptive algorithms, has become indispensable in medical imaging, disease prediction, and optimizing treatment protocols. XR tech nologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), provide immersive and interactive environments that enhance medical training, rehabilitation, and surgical precision. This study critically evaluates the applications of AI and XR in real-world biomedical scenarios, comparing outcomes with traditional healthcare practices and presenting case studies that demonstrate their effectiveness. Addi tionally, the review discusses the limitations of these technologies, including algorithmic biases, privacy con cerns, and the need for robust regulatory frameworks. The ethical considerations surrounding patient safety and data security are examined to ensure a balanced perspective. By analyzing recent advancements and identifying research gaps, this paper provides actionable insights and suggests future directions for the inte gration of AI and XR in Biomedical Engineering. With the potential to refine diagnostics, enhance therapeutic interventions, and bridge the gap between theoretical knowledge and clinical practice, the fusion of AI and XR technologies represents a paradigm shift in healthcare delivery.