AI-Powered Developments in Medical Robotics : Data-Driven Techniques for Enhanced Surgical Efficiency
Language: English
Published by Elsevier Science Aug 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 189.05
Quantity: 1 available
Add to basketItem description from seller
Neuware - AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications. The book strikes a balance by addressing foundational principles, emerging technologies, and their practical implementation in real-world scenarios. It enhances its value through the inclusion of real-world case studies and interdisciplinary perspectives, making it relevant for professionals, researchers, and students alike. The book explores future developments, such as augmented and virtual reality in medical robotics, positioning itself as a forward-thinking resource.By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, the book ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.…
Seller Inventory # 9780443277832
- Title
- AI-Powered Developments in Medical Robotics : Data-Driven Techniques for Enhanced Surgical Efficiency
- Author
- Thomas Heinrich Musiolik
- Publisher
- Elsevier Science Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443277834
- ISBN 13
- 9780443277832
- Item weight
- 975 grams
- Dimensions
- 234x190x28 mm
By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, the book ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.
- Offers a thorough integration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications
- Addresses foundational principles, emerging technologies, and practical implementation, providing a well-rounded perspective that combines theory with real-world application
- Includes real-world case studies and insights from various disciplines
- Discusses future advancements, such as augmented and virtual reality in medical robotics
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Hemachandran Kannan is a Professor in the Department of Artificial Intelligence & Business Analytics at Woxsen University, India, where he holds the Zita Zoltay Paprika Chair in Decision Sciences and Business Economics, as well as the Course5i Chair in Business Analytics and Machine Learning. With 15 years of teaching and 5 years of research experience, he is a dedicated educator skilled in AI and Business Analytics. After earning a Ph.D. in Embedded Systems, Dr. Kannan shifted his focus to interdisciplinary research. He has served as a resource person at numerous national and international conferences and has lectured on AI and Business Analytics topics. Recognized as Best Faculty at Woxsen University (2021-2022) and Ashoka Institute of Engineering & Technology (2019-2020), he has expertise in Natural Language Processing, Computer Vision, and autonomous systems.
Dr. Raul Villamarin Rodriguez is Vice President of Woxsen University and holds professorships in cognitive psychology and integrative research. He also serves as an Adjunct Professor at Universidad del Externado in Colombia and sits on international advisory boards in Europe and Russia. He holds a PhD in artificial intelligence and robotic process automation in human resources and specialises in machine learning, deep learning, natural language processing, and emerging areas such as quantum AI. He contributes to global academic initiatives, including expert groups focused on responsible management education and pedagogy. Dr. Rodriguez is recognised as an expert by the European Commission and actively contributes to research, publishing, and academic service through authorship, editorial roles, and peer review for leading journals. His work focuses on advancing AI-driven innovation, analytics, and digital learning in higher education and applied research contexts.
Dr. Manjeet Rege is a Professor and Chair of the Department of Software Engineering and Data Science; and Director of the Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies. He is also the co-host of the "All Things Data" podcast that brings together leading data scientists, technologists, business model experts and futurists to discuss strategies to utilize, harness and deploy data science, data-driven strategies and enable digital transformation. Apart from being engaged in research, Dr. Rege regularly consults with various organizations to provide expert guidance for building Big Data and AI practice, and applying innovative data science approaches. He has published in various peer-reviewed reputed venues such as IEEE Transactions on Knowledge and Data Engineering, Data Mining & Knowledge Discovery Journal, IEEE International Conference on Data Mining, and the World Wide Web Conference. He is on the editorial review board of Journal of Computer Information Systems and regularly serves on the program committees of various international conferences.
"About the title" may belong to another edition of this title.
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