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当前位置：生物医学工程与生物力学 > 2025年 1卷 (1)期

Open Access Article

Biomedical Engineering and Biomechanics. 2025; 1: (1) ; 1-13 ; DOI: 10.12208/j.beb.20250001.

A Biomedical Engineering (BME) Perspective Investigation Analysis: Artificial Intelligence (AI) and Extended Reality (XR)
生物医学工程（BME）视角调查分析：人工智能（AI）与扩展现实（XR）

作者： Zarif Bin Akhtar¹ *, Ahmed Tajbiul Rawol²

1 Department of Engineering, University of Cambridge, Cambridge CB2 1TN, UK

2 Faculty of Science and Technology, Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka 1229, Bangladesh

*通讯作者： Zarif Bin Akhtar,单位： Department of Engineering, University of Cambridge, Cambridge CB TN, UK；

发布时间: 2025-04-24 总浏览量: 64

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摘要

人工智能（AI）与扩展现实（XR）的结合预示着生物医学工程（BME）领域新时代的到来，为创新、诊断、治疗和教育提供了许多前所未有的途径。本研究探索了AI、XR和VR之间的协同关系，揭示了它们共同变革医疗实践的可能性。AI凭借其学习和适应能力，已超越其在数据分析领域的诸多应用，成为医疗保健领域的重要工具。通过先进的算法，AI可以预测各种疾病模式、增强医学成像并优化治疗方案。XR技术，包括虚拟现实（VR）、增强现实（AR）和混合现实（MR），将用户沉浸在虚拟环境中，促进互动式和体验式学习及治疗方法。本研究还重点探讨了AI、XR和VR在生物医学应用中的整合，阐明了它们在诊断、治疗和培训中的作用。人工智能驱动的图像分析增强了医学成像，加快了疾病识别并跟踪了治疗进展。XR凭借其沉浸式特性，使外科医生在手术过程中能够获得非常详细的解剖学信息，并通过引人入胜的模拟辅助康复。AI、XR和VR的协同结合也重新定义了医学教育，为医疗从业者提供了沉浸式的培训体验，弥合了理论与实践之间的差距。随着这些技术的不断发展，伦理考量和挑战也随之而来。在这种动态格局下，隐私问题、数据安全以及监管框架的需求至关重要。在创新与患者安全之间取得适当的平衡仍然是一项至关重要的任务。在本研究中，从生物医学工程的角度来看，AI、XR和VR的融合具有彻底改变医疗信息学的潜力。随着AI不断改进诊断和治疗策略，AR、XR和VR为沉浸式体验提供了一个可感知的平台，可以增强培训和治疗干预。这项研究探索了这种变革性融合的前景，并阐明了其对BME和全球患者健康的深远影响。

关键词： 人工智能（AI）；增强现实（AR）；生物医学工程（BME）；计算机视觉；扩展现实（XR）；深度学习（DL）；机器学习（ML）；虚拟现实（VR）

Abstract

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 interactive 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.

Key words： Artificial Intelligence (AI); Augmented Reality (AR); Biomedical Engineering (BME); Computer Vision; Extended Reality (XR); Deep Learning (DL); Machine Learning (ML); Virtual Reality (VR)

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引用本文

ZarifBinAkhtar, AhmedTajbiulRawol, 生物医学工程（BME）视角调查分析：人工智能（AI）与扩展现实（XR）[J]. 生物医学工程与生物力学, 2025; 1: (1) : 1-13.

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