Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems
暫譯: 轉型全球醫療：AI 與 IoT 在現代醫療系統中的角色
Nag, Anindya, Hassan, MD Mehedi, Sil, Riya
相關主題
商品描述
Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems explores the transformative potential of the integration of technologies such as AI, Big Data, IoT, and Blockchain in the healthcare sector. This comprehensive volume aims to illustrate how these advanced technologies can address sustainability challenges, improve decision-making processes, and enhance overall healthcare delivery. By mapping existing knowledge and forecasting future trends, the book provides a detailed roadmap for sustainable healthcare development.
Key features include:
- Explores AI, big data, IoT, and blockchain in healthcare in-depth.
- Provides actionable strategies for energy management, waste disposal, and green supply chains
- Provides in-depth coverage of real-time health monitoring, predictive analytics, robotic surgery, and AI medical imaging.
- Provides insights into preventing drug counterfeiting, managing pharmaceutical cold chains, and optimizing supply chains.
- Comprises a comparative analysis of global healthcare systems, telemedicine evolution, and future digital health trends.
商品描述(中文翻譯)
《轉型全球醫療保健：AI 和 IoT 在現代醫療系統中的角色》探討了 AI、大數據、物聯網 (IoT) 和區塊鏈等技術整合在醫療保健領域的變革潛力。本書旨在說明這些先進技術如何應對可持續性挑戰、改善決策過程並提升整體醫療服務質量。通過映射現有知識和預測未來趨勢，本書提供了一個可持續醫療發展的詳細路線圖。
主要特色包括：
- 深入探討 AI、大數據、物聯網 (IoT) 和區塊鏈在醫療保健中的應用。
- 提供可行的能源管理、廢物處理和綠色供應鏈策略。
- 深入涵蓋實時健康監測、預測分析、機器人手術和 AI 醫學影像技術。
- 提供防止藥品偽造、管理藥品冷鏈和優化供應鏈的見解。
- 包含全球醫療系統的比較分析、遠程醫療的演變及未來數位健康趨勢。
作者簡介
Anindya Nag obtained an M.Sc. in Computer Science and Engineering from Khulna University in Khulna, Bangladesh, and a B.Tech. in Computer Science and Engineering from Adamas University in Kolkata, India. He is currently a lecturer in the Department of Computer Science and Engineering at the Northern University of Business and Technology in Khulna, Khulna 9100, Bangladesh. His research focuses on health informatics, medical Internet of Things, neuroscience, and machine learning. He serves as a reviewer for numerous prestigious journals and international conferences. He has authored and co-authored about 60 publications, including journal articles, conference papers, and book chapters, and has co-edited books.
Md. Mehedi Hassan is currently a Ph.D. researcher in STEM (Computer and Information Science) at the University of South Australia, working on a fully funded research project. He started his Ph.D. in 2025, building on a strong academic background in computer science and engineering. He holds an M.Sc. in Computer Science and Engineering from Khulna University, Bangladesh, completed in 2024, and a B.Sc. in Computer Science and Engineering from North Western University, completed in 2022. His research spans computer science engineering and data science, with a strong focus on predictive analysis and expert system development. Md. Mehedi Hassan has authored 73 research papers and edited 5 books, actively contributing to the academic community. He serves as a peer reviewer for over 80 prestigious journals and collaborates extensively in interdisciplinary research. As a trainer for the VCourse platform, he has educated over 250 students over the past two years, sharing knowledge in emerging technologies and research methodologies. Beyond publications, he has actively engaged in intellectual property development, with several patents filed and three already granted in his name. His current research interests include computational neuroscience, machine learning for healthcare, and predictive modeling for biometrics.
Dr. Riya Sil is an Associate Professor in Department of Computer Science & Engineering, Brainware University, Kolkata, India. Dr. Riya Sil holds a B.Tech & M.Tech degree in Computer Science & Engineering from Birla Institute of Technology and a PhD degree with a specialization in Legal Analytics. She has a total professional experience of about 9 years, including 7 years in academics and 2 years as Software Developer at Cognizant Technology Solutions (CTS). During her academic tenure, she has served as Asst. Professor in Computer Science & Engineering department in various institutions like Kristu Jayanti College - Autonomous, Techno India University, and Adamas University. Her research focuses on Machine Learning; Natural Language Processing (NLP); Deep Learning; Artificial Intelligence (AI) and Cloud Computing. She serves as a reviewer for various reputable journals and international conferences. She has about 40 publications to her credit which include peer-reviewed SCI and Scopus-indexed journals, conferences and book chapters.
Dr. Asif Karim currently works at the Faculty of Science and Technology, Charles Darwin University. Asif does research in Machine Learning based Health Informatics and Blockchain Applications. He has considerable Industry Experience in the field of IT, primarily in Software Engineering. Complete Information about his Research Publications, Teaching and Grants are available at https: //asifkarim.com/.
作者簡介(中文翻譯)
Anindya Nag 於孟加拉國庫爾納的庫爾納大學獲得計算機科學與工程碩士學位，並於印度加爾各答的阿達馬斯大學獲得計算機科學與工程學士學位。他目前是孟加拉國庫爾納北方商業與科技大學計算機科學與工程系的講師。他的研究專注於健康資訊學、醫療物聯網、神經科學和機器學習。他擔任多本知名期刊和國際會議的審稿人，並已發表和共同發表約60篇出版物，包括期刊文章、會議論文和書籍章節，並共同編輯書籍。
Md. Mehedi Hassan 目前是南澳大利亞大學STEM（計算機與資訊科學）博士研究生，正在進行一個全額資助的研究項目。他於2025年開始攻讀博士學位，擁有堅實的計算機科學與工程學術背景。他於2024年在孟加拉庫爾納大學獲得計算機科學與工程碩士學位，並於2022年在西北大學獲得計算機科學與工程學士學位。他的研究涵蓋計算機科學工程和數據科學，特別專注於預測分析和專家系統開發。Md. Mehedi Hassan 已發表73篇研究論文並編輯5本書籍，積極貢獻於學術界。他擔任超過80本知名期刊的同行評審，並在跨學科研究中廣泛合作。作為VCourse平台的培訓師，他在過去兩年中教育了超過250名學生，分享新興技術和研究方法論的知識。除了出版物外，他還積極參與知識產權的開發，已申請多項專利，其中三項已獲得授權。他目前的研究興趣包括計算神經科學、醫療保健的機器學習和生物識別的預測建模。
Dr. Riya Sil 是印度加爾各答Brainware大學計算機科學與工程系的副教授。Dr. Riya Sil 擁有比爾拉科技學院的計算機科學與工程學士及碩士學位，並獲得法律分析專業的博士學位。她擁有約9年的專業經驗，其中包括7年的學術經歷和2年在Cognizant Technology Solutions (CTS)擔任軟體開發者的經歷。在她的學術生涯中，她曾在Kristu Jayanti College - Autonomous、Techno India University和阿達馬斯大學等多所機構擔任計算機科學與工程系的助理教授。她的研究專注於機器學習、自然語言處理（NLP）、深度學習、人工智慧（AI）和雲計算。她擔任多本知名期刊和國際會議的審稿人，並擁有約40篇出版物，包括同行評審的SCI和Scopus索引期刊、會議和書籍章節。
Dr. Asif Karim 目前在查爾斯達爾文大學的科學與技術學院工作。Asif 的研究領域包括基於機器學習的健康資訊學和區塊鏈應用。他在IT領域擁有相當的行業經驗，主要集中在軟體工程方面。關於他的研究出版物、教學和資助的完整資訊可在 https://asifkarim.com/ 獲得。
