期刊文献+

医学元宇宙场景的构建及应用

Construction and application of medical metaverse scenes
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摘要 医学元宇宙是医学与计算机科学、信息技术等尖端技术的结合,在医学元宇宙中,现实世界的医学知识也将被转化为数字化的形式,使医学诊疗、教育及临床实践活动得以在虚拟环境中进行。本文结合国内外相关最新的研究成果,将从医学元宇宙的支撑技术及其在医学临床、医学教育中的应用、不足以及未来发展方面展开综述。 The medical metaverse is a combination of medicine and other cutting-edge technologies such as computer and information ones.In the medical metaverse,medical knowledge in the real world will be transformed into a digital form,so that activities concerning diagnosis,treatment,education and clinical practice can be carried out in a virtual environment.Based on the latest research advances at home and abroad,this review expounds on the medical metaverse from the aspects of supporting technologies,applications in clinic and medical education,current deficiencies and future development.
作者 杨佳铭 蔡敏 杨荣骞 关沛峰 李峥嵘 孟庆虎 叶哲伟 Yang Jiaming;Cai Min;Yang Rongqian;Guan Peifeng;Li Zhengrong;Meng Qinghu;Ye Zhewei(Department of Orthopaedics,Union Hospital,Tongji Medical College,Hua Zhong University of Science and Technology,Wuhan 430022,China;Chinese Medicine Hospital of Hainan Province,Haikou 570203,China;Guangzhou Aimooe Technology Co.Ltd.,Guangzhou 510006,China;Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen 518071,China)
出处 《中华创伤骨科杂志》 CAS CSCD 北大核心 2024年第1期68-72,共5页 Chinese Journal of Orthopaedic Trauma
基金 国家自然科学基金(81974355,82172524) 国家级创新平台培育计划(2020021105012440) 湖北省技术创新重大专项(CXZD2018000053) 湖北省人工智能重点研发项目(2021BEA161)。
关键词 人工智能 远程会诊 外科手术 元宇宙 扩展现实 临床教学 Artificial intelligence Remote consultation Surgical procedures Metaverse Extended reality Clinical teaching
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  • 1Big Data. Nature, 2008,455(7209): 1-136.
  • 2Wesley T, Kerra B, Edward P, et al. The Future of MedicalDiagnostics: Large Digitized Databases. J Mech Med Biol. 2012,85(3): 363-377.
  • 3Bollier, David. The Promise and Peril of Big Data. USA: The AspenInstitute, 2010: 25-28.
  • 4谭嘉.大数据挖掘.电子工业出版社,2013,3: 45-121.
  • 5Cohen M J, Serkova N J,Wiener K J, et al. 1H-NMR basedmetabolomic signatures of clinical outcomes in trauma patients-beyond lactate and base deficit. J Trauma, 2010,69(1): 31-40.
  • 6Koh H C,Tan G. Data mining applications in healthcare. Journal ofHealthcare Information Management, 2011, 19(2): 65-71.
  • 7Krishnaiah V,Narsimha G, Chandra N S. Diagnosis of Lung CancerPrediction System Using Data Mining Classification Techniques.International Journal of Computer Science and InformationTechnologies, 2013, 4(1): 39-45.
  • 8Mohanty A K, Senapati M R,Lenka S K. An improved data miningtechnique for classification and detection of breast cancer frommammograms. Neural Computing and Applications, 2013, 22(1): 1-8.
  • 9Fradkin D. Using cluster analysis to determine the influence ofdemographic features on medical status of lung cancer patients[EB/j OL]. http://dimacs.rutgers.edu/Workshops/DataMiningTutorial.
  • 10刘雷.大数据时代的生物医学.中国计算机学会通讯,2013,9(9):18-19.

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