Surgical Robotics and Computer-Assisted Surgery: Fundamentals and Advances
暫譯: 外科機器人與電腦輔助手術:基礎與進展
Joshi, Kapil, R, Kiruthigha, Krishna, Gopal
商品描述
The book provides a comprehensive overview of the fundamentals, technologies, and recent advances in surgical robotics and computer-assisted surgery and provides a thorough understanding of the fundamentals and advances in surgical robotics and computer-assisted surgery. It covers core concepts, system architectures, control mechanisms, imaging integration, AI-assisted decision support, and emerging robotic platforms. Through theoretical insights, practical case studies and clinical applications, the book bridges engineering principles with medical practice, highlighting current challenges, ethical considerations, and future directions in robotic-assisted surgical systems. The book is intended for researchers, graduate students, surgeons, biomedical engineers, and industry professionals working in surgical robotics, medical imaging, healthcare technology, and computer-assisted intervention systems.
Key Features:
- Covers fundamental principles, technological advancements, clinical applications, and future directions.
- Includes contributions from leading experts in surgical robotics and computer-assisted surgery.
- Provides a comprehensive overview of robotic systems, sensors, instrumentation, and advanced materials.
- Explores clinical applications in urology, cardiothoracic surgery, neurosurgery, orthopedics, and more.
- Discusses artificial intelligence, machine learning, virtual reality, and augmented reality in robotic surgery.
- Offers case studies, best practices, and lessons learned from robotic surgery programs.
商品描述(中文翻譯)
本書提供了外科機器人和電腦輔助手術的基本原理、技術及最新進展的全面概述,並深入理解外科機器人和電腦輔助手術的基礎與進展。內容涵蓋核心概念、系統架構、控制機制、影像整合、人工智慧輔助決策支持及新興的機器人平台。透過理論見解、實務案例研究及臨床應用,本書將工程原則與醫療實踐相結合,突顯當前挑戰、倫理考量及機器人輔助外科系統的未來方向。本書適合從事外科機器人、醫學影像、醫療科技及電腦輔助介入系統的研究人員、研究生、外科醫生、生物醫學工程師及業界專業人士。
**主要特色:**
- 涵蓋基本原則、技術進展、臨床應用及未來方向。
- 包含外科機器人和電腦輔助手術領域的領先專家的貢獻。
- 提供機器人系統、感測器、儀器及先進材料的全面概述。
- 探討泌尿科、心胸外科、神經外科、骨科等領域的臨床應用。
- 討論人工智慧、機器學習、虛擬實境及擴增實境在機器人手術中的應用。
- 提供案例研究、最佳實踐及從機器人手術計畫中獲得的經驗教訓。
作者簡介
Dr. Kapil Joshi is an Associate Professor in the Department of Computer Science & Engineering at the Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, India. He holds a Ph.D. in Computer Science & Engineering, with his doctoral research focused on image quality enhancement using fusion techniques. He has over a decade of experience in academia, industry, and research, and his teaching interests include Operating Systems, Database Management Systems, Web Development, and Machine Learning.
Dr. Joshi's research interests span image processing, computer vision, pattern recognition, deep learning, and intelligent systems. He is currently pursuing postdoctoral research (remote) at the Singapore Institute of Technology (SIT), Singapore, under international academic supervision. He has published extensively in reputed international journals and conferences and has contributed to several edited books and book chapters with leading publishers. Dr. Joshi is a Senior Member of IEEE and actively serves as an editor, reviewer, and technical committee member for various international journals and conferences. He has received multiple awards for excellence in research and academic contributions.
Dr. Kiruthigha R is an Assistant Professor in the Department of Information Technology at SRM Institute of Science and Technology (SRMIST), Ramapuram, India. She holds a Ph.D. from Anna University, Chennai, an M.Tech. from Anna University, and a B.Tech. from Bharathiar University. With over 12 years of teaching experience, Dr. Kiruthigha specializes in Machine Learning and Medical Image Processing. Her research contributions focus on applying intelligent computational techniques to healthcare-related image analysis, aiming to enhance diagnostic accuracy and medical decision-making. She is actively involved in both academic instruction and research supervision at the undergraduate and postgraduate levels.Dr. Gopal Krishna is an Assistant Professor in the Department of Computer Science and Engineering at the Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India. He completed his Ph.D. on the design and implementation of an Artificial Intelligence-assisted predictive framework aimed at enhancing the efficiency and reliability of Battery Management Systems. Dr. Krishna is a prolific researcher with keen interests in Artificial Intelligence, the Internet of Things (IoT), and their applications in green energy and sustainability. He has authored textbooks and published numerous research papers in reputed journals. His academic pursuits and research contributions extend into the realm of advanced computational intelligence, focusing on cutting-edge developments for transformative solutions in renewable energy and sustainable technologies.
Dr. Prabhishek Singh (Senior IEEE Member) is an Associate Professor in the School of Computer Science Engineering and Technology at Bennett University (The Times Group), Greater Noida, India, and also serves as Honorary Adjunct Faculty at Maryam Abacha American University of Nigeria. He received his Ph.D. from Babasaheb Bhimrao Ambedkar University (Central University), Lucknow, in 2018. Dr. Singh has authored over 300 peer-reviewed publications in SCI, SCIE, ESCI, and Scopus venues. His research interests include multimodal medical image fusion, computer vision, deep learning, and AI-enabed healthcare analytics, and he actively contributes as journal editor and reviewer. He is listed among the World's Top 2% Scientists.
Dr. Manoj Diwakar is working as Professor in the Department of Computer Science and Engineering at Graphic Era Deemed to be University, Dehradun. His research interests include image processing, information security and medical imaging. He has published more than 200+ research papers in peer-reviewed journals, conferences, books and book chapters with national and international publishers of repute such as IEEE, Springer and Elsevier. He has also served as guest editor/associate editor/editorial member of many reputable journals and organized many international conferences. Dr. Diwakar's editorial expertise is evidenced by his role as an Associate Editor, Academic Editor, and Guest Editor for prominent journals published by Elsevier, SPIE, and Bentham Science, among others. He has also served as a book editor for leading international publishers such as Springer, Elsevier, CRC Press, and Bentham Science. Furthermore, he regularly serves as a reviewer for renowned journals, including IEEE Transactions, Elsevier, Springer, and Inderscience publications.
作者簡介(中文翻譯)
卡皮爾·喬希博士是印度德拉敦烏塔拉昌大學(Uttaranchal University)烏塔拉昌科技學院(UIT)計算機科學與工程系的副教授。他擁有計算機科學與工程的博士學位,博士研究專注於使用融合技術進行影像品質增強。他在學術界、產業和研究方面擁有超過十年的經驗,教學興趣包括作業系統、資料庫管理系統、網頁開發和機器學習。
喬希博士的研究興趣涵蓋影像處理、計算機視覺、模式識別、深度學習和智能系統。他目前在新加坡科技學院(SIT)進行遠程的博士後研究,並在國際學術指導下進行研究。他在知名國際期刊和會議上發表了大量論文,並為多本編輯書籍和書章作出貢獻。喬希博士是IEEE的高級會員,並積極擔任各種國際期刊和會議的編輯、審稿人和技術委員會成員。他因在研究和學術貢獻方面的卓越表現而獲得多項獎項。
基魯提哈·R博士是印度拉馬普拉姆SRM科學與技術學院(SRMIST)資訊技術系的助理教授。她擁有印度金奈安娜大學的博士學位、安娜大學的碩士學位以及巴哈提亞大學的學士學位。基魯提哈博士擁有超過12年的教學經驗,專注於機器學習和醫學影像處理。她的研究貢獻集中於將智能計算技術應用於與醫療相關的影像分析,旨在提高診斷準確性和醫療決策能力。她積極參與本科和研究生層級的學術教學和研究指導。
戈帕爾·克里希納博士是印度德拉敦烏塔拉昌科技學院計算機科學與工程系的助理教授。他的博士研究專注於設計和實施一個人工智慧輔助的預測框架,旨在提高電池管理系統的效率和可靠性。克里希納博士是一位多產的研究者,對人工智慧、物聯網(IoT)及其在綠色能源和可持續性方面的應用有濃厚的興趣。他撰寫了教科書並在知名期刊上發表了多篇研究論文。他的學術追求和研究貢獻延伸至先進計算智能的領域,專注於可再生能源和可持續技術的變革性解決方案的前沿發展。
普拉比謝克·辛格博士(高級IEEE會員)是印度大諾伊達班奈特大學(Bennett University,隸屬於時代集團)計算機科學工程與技術學院的副教授,同時擔任尼日利亞瑪莉亞姆·阿巴查美國大學的名譽兼職教員。他於2018年在印度勒克瑙的巴巴薩赫布·比姆拉奧·安貝德卡大學(中央大學)獲得博士學位。辛格博士在SCI、SCIE、ESCI和Scopus等期刊上發表了超過300篇同行評審的出版物。他的研究興趣包括多模態醫學影像融合、計算機視覺、深度學習和人工智慧驅動的醫療分析,並積極擔任期刊編輯和審稿人。他被列為全球前2%的科學家之一。
馬諾傑·迪瓦卡爾博士在印度德拉敦的圖形時代大學(Graphic Era Deemed to be University)計算機科學與工程系擔任教授。他的研究興趣包括影像處理、資訊安全和醫學影像。他在同行評審的期刊、會議、書籍和書章中發表了超過200篇研究論文,與IEEE、Springer和Elsevier等國內外知名出版商合作。他還擔任多個知名期刊的客座編輯/助理編輯/編輯委員,並組織了多場國際會議。迪瓦卡爾博士的編輯專業知識體現在他擔任Elsevier、SPIE和Bentham Science等知名期刊的助理編輯、學術編輯和客座編輯的角色。他還擔任過Springer、Elsevier、CRC Press和Bentham Science等國際知名出版商的書籍編輯。此外,他定期擔任IEEE Transactions、Elsevier、Springer和Inderscience出版物等知名期刊的審稿人。