AI Powered Healthcare in the Metaverse: Virtual Ecosystems
暫譯: 元宇宙中的AI驅動醫療保健:虛擬生態系統

S, Balasubramaniam, Kadry, Seifedine

  • 出版商: CRC
  • 出版日期: 2026-09-08
  • 售價: $4,790
  • 貴賓價: 9.5$4,550
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041105851
  • ISBN-13: 9781041105855
  • 相關分類: AI Coding
  • 尚未上市,無法訂購

商品描述

The convergence of AI and the metaverse is poised to revolutionize healthcare and other industries. Healthcare has undergone rapid transformation through the adoption of AI technologies, ranging from machine learning for diagnostics to AI-driven drug discovery and personalized treatments. Simultaneously, the development of immersive virtual environments, including the metaverse, has opened new frontiers in virtual interaction, training, and simulation. At the same time, the pandemic has accelerated the shift toward remote healthcare services such as telemedicine, highlighting the potential for virtual care ecosystems that transcend physical limitations. As AI becomes more sophisticated, it is now capable of creating virtual hospitals, digital twins, and AI-driven monitoring tools that offer unprecedented levels of patient care. The metaverse, often associated with gaming and entertainment, is evolving into a platform where healthcare services can be delivered in immersive, interactive, and real-time virtual environments. This combination of AI-powered healthcare in the metaverse promises a future where patients can receive personalized, continuous care regardless of location.

This book explores the emerging field of AI-powered healthcare in virtual environments and provide readers with an understanding of how this technological integration will reshape the future of medical care. By combining the potential of AI with the immersive capabilities of the metaverse, this book aims to offer a roadmap for the future of healthcare, emphasizing how virtual health ecosystems can improve diagnostics, treatment, and patient engagement.

This book will serve as a reference for researchers, scholars, and industry professionals in different fields related to healthcare, metaverse and artificial intelligence. It can also be a hands-on resource for students interested in the fields of metaverse and healthcare applications using artificial intelligence.

Key Features:

  • Focuses on the integration of AI and the metaverse, not just as separate technologies, but as cohesive elements in a comprehensive, patient-centered health ecosystem.
  • Offers practical insights and real-world applications rather than just theoretical discussions.
  • Provides future-oriented, predictive, and preventive healthcare framework with a strong focus on AI-driven advancements.
  • Addresses ethical, regulatory, and governance issues, which are critical to the successful adoption of AI in virtual healthcare environments.

商品描述(中文翻譯)

AI 與元宇宙的融合即將徹底改變醫療保健及其他行業。醫療保健透過採用 AI 技術經歷了快速的轉型,這些技術包括用於診斷的機器學習、AI 驅動的藥物發現以及個性化治療。同時,沉浸式虛擬環境的發展,包括元宇宙,為虛擬互動、訓練和模擬開啟了新的前沿。疫情同時加速了向遠程醫療服務(如遠程醫療)的轉變,突顯了超越物理限制的虛擬護理生態系統的潛力。隨著 AI 變得越來越先進,現在它能夠創建虛擬醫院、數位雙胞胎和 AI 驅動的監測工具,提供前所未有的病人護理水平。元宇宙,通常與遊戲和娛樂相關,正在演變成一個可以在沉浸式、互動式和實時虛擬環境中提供醫療服務的平台。這種 AI 驅動的醫療保健與元宇宙的結合,預示著未來病人無論身在何處都能獲得個性化、持續的護理。

本書探討了在虛擬環境中以 AI 為驅動的醫療保健新興領域,並為讀者提供對這一技術整合如何重塑醫療保健未來的理解。通過結合 AI 的潛力與元宇宙的沉浸式能力,本書旨在提供醫療保健未來的藍圖,強調虛擬健康生態系統如何改善診斷、治療和病人參與。

本書將作為研究人員、學者和與醫療保健、元宇宙及人工智慧相關的行業專業人士的參考資料。它也可以成為對元宇宙和使用人工智慧的醫療應用感興趣的學生的實用資源。

**主要特點:**
- 專注於 AI 與元宇宙的整合,不僅僅是將其視為獨立技術,而是作為一個全面的以病人為中心的健康生態系統中的協同元素。
- 提供實用的見解和現實世界的應用,而不僅僅是理論討論。
- 提供面向未來的預測性和預防性醫療框架,強調 AI 驅動的進步。
- 解決倫理、監管和治理問題,這些問題對於在虛擬醫療環境中成功採用 AI 至關重要。

作者簡介

Dr. Balasubramaniam S is an assistant professor at the School of Computer Science and Engineering, Kerala University of Digital Sciences, Innovation and Technology, Digital University Kerala (DUK), Thiruvananthapuram, Kerala, India. Prior to joining DUK, he was with the School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Chennai, where he worked as a senior associate professor. He has around 15+ years of experience in teaching, applied research, and industry. He completed his postdoctoral research in the Department of Applied Data Science at Noroff University College, Kristiansand, Norway.He holds a Ph.D degree in Computer Science and Engineering from Anna University, Chennai, India, in 2015. He has published more than 30 research papers in reputed SCI/WoS/Scopus indexed Journals. He has been granted one Australian patent and two Indian Patents and has also published two additional Indian patents. He has presented papers at conferences, received a best paper award, contributed 40 chapters in edited books, and served as an Editor for 15 books published by international publishers. His research and publication interests include machine learning, deep learning, federated learning-based healthcare and security applications, cloud computing security, Generative AI, and Agentic AI.

Prof. Seifedine Kadry has a bachelor's degree in 1999 from Lebanese University, an MS degree in 2002 from Reims University (France) and EPFL (Lausanne), a Ph.D in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present, his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an IET and AAIA fellow, and he is a full professor of data science at the Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.

作者簡介(中文翻譯)

巴拉蘇布拉馬尼亞姆博士是印度喀拉拉邦數位大學(Digital University Kerala, DUK)計算機科學與工程學院的助理教授。他在加入DUK之前,曾在印度金奈的維洛爾科技學院(Vellore Institute of Technology, VIT)計算機科學與工程學院擔任高級副教授。他擁有超過15年的教學、應用研究和產業經驗。他在挪威克里斯蒂安桑的諾羅夫大學學院(Noroff University College)應用數據科學系完成了博士後研究。他於2015年在印度金奈的安娜大學(Anna University)獲得計算機科學與工程的博士學位。他在知名的SCI/WoS/Scopus索引期刊上發表了超過30篇研究論文。他獲得了一項澳大利亞專利和兩項印度專利,並且還發表了另外兩項印度專利。他在會議上發表論文,獲得最佳論文獎,為編輯書籍貢獻了40章,並擔任15本由國際出版社出版的書籍的編輯。他的研究和出版興趣包括機器學習、深度學習、基於聯邦學習的醫療和安全應用、雲計算安全、生成式人工智慧和代理人工智慧。

賽夫丁·卡德里教授於1999年在黎巴嫩大學獲得學士學位,2002年在法國蘭斯大學(Reims University)和洛桑聯邦理工學院(EPFL)獲得碩士學位,2007年在法國布萊茲·帕斯卡大學(Blaise Pascal University)獲得博士學位,2017年在法國魯昂大學(Rouen University)獲得HDR學位。目前,他的研究重點是數據科學、利用技術進行教育、系統預測、隨機系統和應用數學。他是IET和AAIA的院士,並且是黎巴嫩美國大學(Lebanese American University)計算機科學與數學系的數據科學全職教授。