The conjunction of Artificial Intelligence (AI) and Extended Reality (XR) has foreshadowed a new era within the field of Biomedical Engineering (BME), offering many unprecedented avenues for innovation, diagnostics, treatment, and education. This research exploration delves into the synergetic connection between AI, XR, and VR, unscrambling their collective probability to reform healthcare practices. AI, considered by its ability to learn and adapt, has surpassed its role within many domains of data analysis to become a vital tool in healthcare. Through advanced algorithms, AI can predict various types of disease patterns, enhance medical imaging, and optimize treatment protocols. XR technologies, encompassing of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), immerse users into virtual environments, facilitating interac-tive and experiential learning and treatment methods. This research investigation also focuses on the study that inspects the integration of AI, XR, and VR in biomedical applications, illuminating their role in diagnosis, treatment, and training. The AI-driven image analysis augments medical imaging, expediting disease identification and tracking treatment progress. XR, through its immersive nature, empowers surgeons with a very detailed anatomical insight during procedures and aids within rehabilitation through engaging simulations. The synergistic matrimonial of AI, XR, and VR also redefines medical education by offering immersive training experiences to healthcare practitioners and bridging the gap between theory and practice. Ethical considerations and challenges emerge as these technologies continue to evolve. Privacy concerns, data security, along the need for regulatory frameworks are paramount in this dynamic landscape. Conspicuous for the right balance between innovation and patient safety remains an imperative task. In the context of this research, the fusion of AI, XR, and VR from a biomedical engineering perspective holds the potential to revolutionize healthcare informatics. As AI refines diagnostics and treatment strategies, AR, XR, and VR provide a perceptible platform for immersive experiences that can enhance training and therapeutic interventions. This research navigates the landscape of this transformative convergence and shedding light on its profound implications for BME and the well-being of patients universally.

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How to cite this paper

A Biomedical Engineering (BME) Perspective Investigation Analysis: Artificial Intelligence (AI) and Extended Reality (XR)

How to cite this paper: Zarif Bin Akhtar, Ahmed Tajbiul Rawol. (2024). A Biomedical Engineering (BME) Perspective Investigation Analysis: Artificial Intelligence (AI) and Extended Reality (XR). Engineering Advances, 4(3), 143-154.

DOI: https://dx.doi.org/10.26855/ea.2024.07.005

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A Biomedical Engineering (BME) Perspective Investigation Analysis: Artificial Intelligence (AI) and Extended Reality (XR)

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