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Elsevier

Federated Intelligence in Medicine

AI-Driven Robotics for Secure and Intelligent Healthcare Systems

  • 1st Edition - December 1, 2026
  • Latest edition
  • Editors: Manisha Guduri, Chinmay Chakraborty, Nabih Jaber, Keping Yu
  • Language: English

Federated Intelligence in Medicine: AI-Driven Robotics for Secure and Intelligent Healthcare Systems explores the rapidly evolving field where medical robotics intersects with c… Read more

Description

Federated Intelligence in Medicine: AI-Driven Robotics for Secure and Intelligent Healthcare Systems explores the rapidly evolving field where medical robotics intersects with cutting-edge artificial intelligence and secure data-sharing technologies. Covering a comprehensive range of topics, the book begins with foundational knowledge in medical robotics and Generative AI, progressing to advanced concepts such as federated learning and architectural modeling tailored for AI-driven robotic systems. Readers will explore algorithms enhancing surgical robotics, remote robotic surgeries, and human-robot interaction. The text also tackles AI-driven diagnostic robots, privacy preservation through homomorphic encryption, and differential privacy and emerging medical imaging techniques integrated with robotics.

Later chapters examine the synergy of large language models, agent AI, and edge AI with robotic technologies, providing both theoretical frameworks and practical case studies that illuminate real-world applications and challenges. This book is an invaluable resource for researchers and academicians engaged in artificial intelligence, robotics, and medical technology. It also serves undergraduate and graduate students in Biomedical Engineering, Electronics and Electrical Engineering, and Computer Science and Engineering.

Key features

  • Explores the integration of Generative AI and Federated Learning for adaptive and secure medical robotic systems
  • Provides practical case studies that demonstrate real-world applications in surgical and diagnostic robotics
  • Addresses privacy preservation techniques, including homomorphic encryption and differential privacy for healthcare data security
  • Covers emerging trends in AI-driven medical imaging and human-robot interaction technologies
  • Bridges theoretical concepts with implementation strategies for researchers, professionals, and students in medical technology

Readership

Researchers and academicians working in artificial intelligence, robotics, and medical technology; Undergraduate and graduate students in biomedical engineering, electronics and electrical engineering, computer science, and engineering; Medical technology developers and innovators focusing on AI-driven robotic healthcare solutions; Academic faculty and educators teaching courses related to AI, robotics, and medical technology

Table of contents

1. Introduction to Medical Robotics

2. Fundamentals of Generative AI in Healthcare

3. Advances of Generative AI in Healthcare

4. Federated Learning in Medical Technology

5. Architectural Modelling on AI and Robotics

6. Algorithms on AI and Robotics

7. Improving Performance in Surgical Robotics

8. Remote Robotic Surgeries

9. Human Robot Interaction

10. AI-Driven Diagnostic Robots: Applications and Challenges

11. Privacy Preservation and Data Heterogeneity for Healthcare

12. Homomorphic Encryption and Differential Privacy for Healthcare

13. Emerging Medical Imaging Techniques with Robotic Applications

14. Gen AI/LLMs with Robotics for Healthcare

15. Agent AI, Edge AI with Robotics for Medical Technology

Product details

  • Edition: 1
  • Latest edition
  • Published: December 1, 2026
  • Language: English

About the editors

MG

Manisha Guduri

Dr. Manisha Guduri is currently a Full Time Instructor at the University of Louisiana at Lafayette, USA. She is the author/ coauthor of more than 71 research papers in reputed journals, book chapters, and international conferences. Her research interests include Artificial Intelligence, Biomedical Applications, VLSI/CAD design. She is currently working on VLSI and AI in the biomedical field. She published 5 patents out of which 2 are under FER. She received one patent grant. She is the reviewer of IEEE TVLSI, Microelectronics Journal, IET digital circuits, IEEE Journal of Biomedical and Health Informatics, etc. She has one on-going funded project from the Department of Science and Technology.

She is a senior member of IEEE, USA. She is also currently member of various IEEE Societies such as IEEE Young Professionals, IEEE Women in Engineering, Circuits and Systems, Computer Society, Sensor Council, etc. She is appointed as IEEE WiE CASS representative for 2023 & 2024. She is IEEE WiE DL program Coordinator and IEEE Computer Society Lafayette section Vice Chair for 2024. She has delivered more than 35 invited talk/tutorial speech/expert talk in various platforms like International Conference /technical programs. She has organized 10 international conferences under different roles.

Affiliations and expertise
Full Time Instructor, University of Louisiana at Lafayette, Lafayette, LA, USA

CC

Chinmay Chakraborty

Chinmay Chakraborty is an Associate Professor and Head, Centre of Innovation & Research (COIR) in Medical Technology, KIIT Deemed to be University, India. His main research interests include the Internet of Medical Things, Medical technology, m-Health/e-health, and AI-ML. He is an Editorial Board Member of various different journals and conferences.
Affiliations and expertise
Associate Professor and Head, Centre of Innovation & Research (COIR) in Medical Technology, KIIT Deemed to be University, India

NJ

Nabih Jaber

Dr. Nabih Jaber is an Associate Professor and Chair of the Department of Electrical and Computer Engineering. His research interests include Intelligent Transportation Systems (ITS), wireless communications, coding and information theory, Dedicated Short Range Communications (DSRC) vehicular systems, smart grid power line communications, sensor networks, and Advanced Driver Assistance Systems/Autonomous Vehicles (ADAS/AV). He is also engaged in test-bed implementations and the design of innovative simulation systems.

Dr. Jaber actively contributes to the teaching community, having obtained the University Teaching Certification (UTC) from SEDA, which promotes innovation and best practices in higher education. He has also earned certificates in Leading Effective Discussions, Instructional Skills, Teaching Dossier, and Millennial Students: Myths and Realities.

He currently directs the Innovative Smart Wireless Networking Lab (ISWiNLab) and serves as the IEEE Student Branch Advisor at LTU. Additionally, he has previously served as Director of the Master of Science in Electrical and Computer Engineering (MSECE) Graduate Program.

Affiliations and expertise
Associate Professor, Department of Electrical and Computer Engineering, Lawrence Technological University, MI, USA

KY

Keping Yu

Keping Yu received the M.E. and Ph.D. degrees from the Graduate School of Global Information and Telecommunication Studies, Waseda University, Tokyo, Japan, in 2012 and 2016, respectively. He was a Research Associate, Junior Researcher, Researcher with the Global Information and Telecommunication Institute, Waseda University, from 2015 to 2019, 2019 to 2020, 2020 to 2022, respectively. He is currently an associate professor at Hosei University and a visiting scientist at the RIKEN Center for Advanced Intelligence Project, Japan. Dr. Yu has hosted and participated in more than ten projects, is involved in many standardization activities organized by ITU-T and ICNRG of IRTF, and has contributed to ITU-T Standards Y.3071 and Supplement 35. He received the IEEE Outstanding Leadership Award from IEEE BigDataSE 2021, the Best Paper Award from IEEE Consumer Electronics Magazine Award 2022 (1st Place Winner), IEEE ICFTIC 2021, ITU Kaleidoscope 2020, the Student Presentation Award from JSST 2014. He has authored 100+ publications including papers in prestigious journal/conferences such as the IEEE WCM, CM, NetMag, IoTJ, TFS, TII, T-ITS, TVT, TMC, JBHI, TR, TCOM, TNSM, TIM, TNSE, TGCN, TCSS, CEM, IOTM, ICC, GLOBECOM etc. He is an Associate Editor of IEEE Open Journal of Vehicular Technology, Journal of Intelligent Manufacturing, Journal of Circuits, Systems and Computers. He has been a Guest Editor for more than 20 journals such as IEEE TCSS. He served as general co-chair and publicity co-chair of the IEEE VTC2020-Spring 1st EBTSRA workshop, general co-chair of IEEE ICCC2020 2nd EBTSRA workshop, general co-chair of IEEE TrustCom2021 3nd EBTSRA workshop, session chair of IEEE ICCC2020, ITU Kaleidoscope 2016. His research interests include smart grids, information-centric networking, the Internet of Things, artificial intelligence, blockchain, and information security.
Affiliations and expertise
Associate Professor, Hosei University; A visiting Scientist, RIKEN Center for Advanced Intelligence Project, Japan