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医学元宇宙中的人工智能:应用、挑战与未来前景

Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.

作者信息

Yang Jia-Ming, Chen Bao-Jun, Li Rui-Yuan, Huang Bi-Qiang, Zhao Mo-Han, Liu Peng-Ran, Zhang Jia-Yao, Ye Zhe-Wei

机构信息

Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

Department of Orthopedics, the People's Hospital of Liaoning Province, Shenyang, 110000, China.

出版信息

Curr Med Sci. 2024 Dec;44(6):1113-1122. doi: 10.1007/s11596-024-2960-5. Epub 2024 Dec 14.

DOI:10.1007/s11596-024-2960-5
PMID:39673002
Abstract

The medical metaverse is a combination of medicine, computer science, information technology and other cutting-edge technologies. It redefines the method of information interaction about doctor-patient communication, medical education and research through the integration of medical data, knowledge and services in a virtual environment. Artificial intelligence (AI) is a discipline that uses computer technology to study and develop human intelligence. AI has infiltrated every aspect of medical metaverse and is deeply integrated with the technologies that build medical metaverse, such as large language models (LLMs), digital twins, blockchain and extended reality (including VR/AR/XR). AI has become an integral part of the medical metaverse building process. Moreover, AI also provides richer medical metaverse functions, including diagnosis, education, and consulting. This paper aims to introduce how AI supports the development of medical metaverse, including its specific application scenarios, shortcomings and future development. Our goal is to contribute to the advancement of more sophisticated and intelligent medical methods.

摘要

医学元宇宙是医学、计算机科学、信息技术等前沿技术的结合体。它通过在虚拟环境中整合医学数据、知识和服务,重新定义了医患沟通、医学教育和研究的信息交互方式。人工智能(AI)是一门利用计算机技术研究和开发人类智能的学科。人工智能已经渗透到医学元宇宙的各个方面,并与构建医学元宇宙的技术,如大语言模型(LLMs)、数字孪生、区块链和扩展现实(包括VR/AR/XR)深度融合。人工智能已成为医学元宇宙构建过程中不可或缺的一部分。此外,人工智能还提供了更丰富的医学元宇宙功能,包括诊断、教育和咨询。本文旨在介绍人工智能如何支持医学元宇宙的发展,包括其具体应用场景、缺点和未来发展。我们的目标是为更先进、智能的医学方法的进步做出贡献。

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ChatGPT in medicine: prospects and challenges: a review article.ChatGPT 在医学中的应用:前景与挑战:一篇综述文章。
Int J Surg. 2024 Jun 1;110(6):3701-3706. doi: 10.1097/JS9.0000000000001312.
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Digital patient twins for personalized therapeutics and pharmaceutical manufacturing.用于个性化治疗和药物制造的数字患者替身
Front Digit Health. 2024 Jan 5;5:1302338. doi: 10.3389/fdgth.2023.1302338. eCollection 2023.
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Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk.人工智能赋能的胸部 X 光片可分类骨质疏松症并识别死亡风险。
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Application and challenges of a metaverse in medicine.元宇宙在医学中的应用与挑战。
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Multi-Label Classification of Chest X-ray Abnormalities Using Transfer Learning Techniques.使用迁移学习技术对胸部X光异常进行多标签分类
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Will ChatGPT pass the Polish specialty exam in radiology and diagnostic imaging? Insights into strengths and limitations.ChatGPT能通过波兰放射学与诊断成像专业考试吗?对其优势与局限的洞察。
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A framework for equitable virtual rehabilitation in the metaverse era: challenges and opportunities.元宇宙时代公平虚拟康复的框架:挑战与机遇
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Intelligent Insulin vs. Artificial Intelligence for Type 1 Diabetes: Will the Real Winner Please Stand Up?智能胰岛素与 1 型糖尿病的人工智能:真正的胜者会站起来吗?
Int J Mol Sci. 2023 Aug 24;24(17):13139. doi: 10.3390/ijms241713139.
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Intelligent Digital Twins for Personalized Migraine Care.用于个性化偏头痛护理的智能数字孪生体。
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What Is Machine Learning, Artificial Neural Networks and Deep Learning?-Examples of Practical Applications in Medicine.什么是机器学习、人工神经网络和深度学习?——医学中的实际应用示例
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