Necrobotics for Healthcare Applications and Management
- 1st Edition - February 28, 2025
- Imprint: Academic Press
- Editors: Hemachandran Kannan, Murugappan Murugappan, Raul Villamarin Rodriguez, Sivaramakrishnan Rajaraman, Rajesh Kumar K V
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 4 8 3 2 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 4 8 3 3 - 7
Necrobotics for Healthcare Applications and Management delves into the emerging area of necrobotics and its implications for healthcare. Exploring the convergence of roboti… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteNecrobotics for Healthcare Applications and Management delves into the emerging area of necrobotics and its implications for healthcare. Exploring the convergence of robotics, technology, and healthcare, the book presents leading-edge research, practical implementations, and ethical considerations. It bridges a significant gap in healthcare literature, furnishing a contemporary and comprehensive perspective on necrobotics. Highlighting its distinct applications, management nuances, and ethical dimensions in the domain of medical robotics, the book equips readers with an in-depth grasp of this evolving field. It offers insights into technological intricacies, practical utilization, and ethical guidelines. Through real-world case studies and exemplar practices, it vividly demonstrates successful necrobotics deployments while addressing integration challenges. The book facilitates adept navigation of necrobotics complexities, spur innovation, enhance patient outcomes, and contribute to healthcare evolution. Catering to the distinct information requisites and daily obstacles encountered by engineers, healthcare practitioners, and researchers, the book offers extensive insights into necrobotics technologies, real-life case studies, and ethical reflections. It stands as a valuable resource for individuals striving to harness necrobotics' potential for efficacious healthcare solutions.
- Provides a comprehensive assessment of the recent necrobotics tools and technologies, including surgical robots, automation of necropsy processes, rehabilitation robots, and telemedicine applications
- Presents case studies that illustrate how necrobotics can be used in healthcare settings to improve patient outcomes and safety
- Discusses the ethical implications of necrobotics in healthcare from a privacy and data protection perspective, as well as a regulatory framework
Researchers, Academicians, R&D organizations and students working in the field of robotics design, healthcare application development, and the implementation of AI methods in robotics design
- Necrobotics for Healthcare Applications and Management
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Chapter 1 Introduction to necrobotics
- Abstract
- Keywords
- 1 Introduction
- 2 Necrobotic system design
- 2.1 Study design requirements
- 2.2 Material identification
- 2.3 Ethical considerations and material sourcing
- 2.4 Material preparation
- 3 Design and fabrication of necrobotics
- 3.1 Bio-inspired design
- 3.2 Integration
- 3.3 Testing and evaluation
- 4 Control mechanisms of necrobotics
- 4.1 Actuation control
- 5 Proposed architecture
- 5.1 Physical layer
- 5.2 Integration layer
- 5.3 Control layer
- 5.4 Application layer
- 6 Prospective use cases of necrobotics
- 6.1 Medical field
- 6.2 Industrial automation
- 6.3 Environmental monitoring
- 6.4 Art and entertainment
- 6.5 Education and research
- 6.6 Military and defense
- 6.7 Human-computer interaction
- 6.8 Search and rescue operations
- 6.9 Agriculture and farming
- 6.10 Rehabilitation therapy
- 6.11 Space exploration
- 6.12 Consumer products
- 6.13 Key challenges in necrobotics
- 6.14 Preservation of biological materials
- 6.15 Integration challenges
- 6.16 Ethical and legal concerns
- 6.17 Reliability and consistency
- 6.18 Scalability and manufacturing
- 7 Future directions of necrobotics
- 7.1 Material advancements
- 7.2 Ethical and legal frameworks
- 7.3 Application expansion
- 7.4 Technology integration
- 7.5 Public engagement and education
- 8 Conclusion
- AI disclosure
- References
- Chapter 2 Necrobotics: Creepy yet fascinating
- Abstract
- Keywords
- 1 Introduction
- 1.1 Biological knowledge
- 1.2 Robotics and engineering
- 1.3 Computer science and knowledge of AI
- 1.4 Key features of advanced necrobotic systems
- 2 The science behind
- 2.1 Physical layer
- 2.2 Integration layer
- 2.3 Control layer
- 2.4 Application layer
- 3 Potential and promises
- 3.1 Medical
- 3.2 Environmental monitoring
- 3.3 Industrial
- 3.4 Education
- 3.5 Entertainment
- 4 What to look for?
- 4.1 Preservation
- 4.2 Compatibility
- 4.3 Ethical and legal issues
- 4.4 Proposed solutions
- 5 Conclusion and future directions
- 5.1 Future directions
- References
- Chapter 3 Evolution of robotics in healthcare
- Abstract
- Keywords
- 1 Introduction
- 2 Background
- 3 Scope
- 4 Significance
- 5 Structure
- 6 Literature review
- 6.1 Experience of frontline healthcare workers
- 6.2 Rise and effectiveness of telemedicine: Table 3.1
- 6.3 Integration of robotic technologies
- 6.4 Justification of the current study
- 7 Importance of integrating robotics in healthcare
- 7.1 Challenges in modern healthcare
- 7.2 Precision in medical procedures
- 8 Applications of necrobotics in healthcare
- 8.1 Robot-assisted surgery
- 8.2 Telepresence robots in patient care
- 8.3 Nanorobotics in drug delivery
- 8.4 Robotic process automation in healthcare management
- 9 Impact on healthcare ecosystem
- 9.1 Improved patient outcomes
- 9.2 Efficient healthcare management
- 9.3 Challenges and ethical considerations
- 10 Case analysis
- 10.1 Key players
- 10.2 Medtronic: Table 3.3
- 10.3 Emerging technologies
- 10.4 UiPath
- 10.5 Blue prism
- 11 Challenges and opportunities
- 11.1 Challenges
- 11.2 Opportunities
- 12 Conclusion
- References
- Chapter 4 Surgical necrobotics
- Abstract
- Keywords
- 1 Introduction
- 2 Traditional surgical techniques
- 2.1 Open surgery
- 2.2 Endoscopic surgery
- 2.3 Other traditional techniques
- 3 Robotic surgery
- 3.1 The benefits of robotic surgery
- 3.2 Applications of robotic surgery
- 4 The future of robotic surgery
- 4.1 Necrobotics in surgical operation
- 5 Challenges in surgical necrobotics
- 6 Conclusion
- References
- Chapter 5 Human-robot interaction in healthcare
- Abstract
- Keywords
- 1 Introduction
- 1.1 Brief overview of bio-robotics in healthcare
- 1.2 Importance of human and robot interaction in this context
- 1.3 Bio-robotics evolution: Literature on the evolution of bio-robotics in healthcare settings
- 2 Technological foundations
- 2.1 Technology overview: Literature covering the key technologies enabling HRI in healthcare
- 2.2 Bio-robotics technology: Specific literature on necrobotic technologies for HRI
- 3 Case studies literature review: Analysis of documented cases where HRI has been implemented in healthcare
- 4 Challenges and considerations
- 4.1 Technical challenges: Literature on the technical difficulties in implementing HRI
- 4.2 Ethical and social considerations: Review of ethical and social implications discussed in the literature
- 4.3 User experience and interaction design
- 5 Future directions
- 5.1 Emerging trends: Literature on emerging trends and predictions for the future of HRI in bio-robotics
- 6 Conclusion
- 6.1 Summary of key literature findings
- 6.2 Reflections on the impact of this body of work on HRI in healthcare
- References
- Chapter 6 Medical imaging and diagnosis: Robotics in diagnostic imaging and image-guided interventions
- Abstract
- Keywords
- 1 Introduction
- 2 Literature survey
- 3 Evolution of necrobotics in medical imaging and robotics
- 3.1 Historical background
- 3.2 Evolution of medical imaging and robotics
- 4 Applications of necrobotics in diagnostic imaging
- 4.1 MRI-guided necrobotics
- 4.2 Ultrasound-assisted necrobotic imaging
- 4.3 Enhancements in CT imaging with necrobotics
- 5 Necrobotics in image-guided interventions
- 5.1 Necrobotic-assisted biopsies
- 5.2 Cardiac interventions using necrobotics
- 5.3 Neurological applications of necrobotics
- 6 Future prospects and challenges
- 6.1 Future prospects
- 6.2 Challenges
- 7 Conclusion
- AI disclosure
- References
- Chapter 7 The role of artificial intelligence and machine learning in necrobotics
- Abstract
- Keywords
- 1 Introduction
- 2 Designing necrobotic systems
- 3 Requirements for the design of a study
- 3.1 Study requirements of necrobotics
- 4 Use of AI algorithms in control system
- 5 Potential applications for necrobotics
- 6 Conclusion
- References
- Chapter 8 Safety and ethical considerations in necrobotics
- Abstract
- Keywords
- 1 Introduction
- 2 Literature review
- 3 Safety considerations in necrobotics
- 3.1 Operational safety
- 3.2 Biological safety
- 3.3 Ethical safety
- 3.4 Data security
- 4 Ethical considerations in necrobotics
- 4.1 Animal welfare
- 4.2 Informed consent and public perception
- 4.3 Dual-use dilemmas
- 4.4 Environmental impact
- 5 Regulatory and governance frameworks
- 6 Safety and security assessment for necrobotics research
- 7 Case studies
- 7.1 Case study 1: Robotic insects for environmental monitoring
- 7.2 Case study 2: Biohybrid robots in medical applications
- 7.3 Case study 3: Biohybrid medical devices using rat heart cells
- 7.4 Case study 4: Biohybrid sensors utilizing plant cells
- 7.5 Case study 5: Necrobotics using bacterial motors
- 8 Conclusion
- 8.1 Future work
- References
- Chapter 9 Cost-effectiveness and return on the investment analysis for necrobotic systems
- Abstract
- Keywords
- 1 Introduction
- 2 Literature review
- 3 Advancements in the field of necrobotics
- 3.1 Generative AI
- 3.2 Neural networks
- 3.3 Selective pressure
- 3.4 Evolutionary robotics
- 4 Cash flow and ROI analysis for robotics innovation
- 4.1 Cash flow analysis
- 4.2 Estimating cost of ownership
- 4.3 The advent of collaborative robots and ROI
- 5 Discussion and conclusion
- 5.1 Limitations
- References
- Chapter 10 Workflow optimization and resource allocation in healthcare: The role of necrobotics
- Abstract
- Keywords
- 1 Overview of necrobotics
- 1.1 Key components of necrobotics
- 1.2 Evolution of necrobotics in healthcare
- 2 The significance of workflow optimization and resource allocation
- 2.1 Workflow optimization in healthcare
- 2.2 Automated diagnostic procedures
- 2.3 The robotic surgery and intervention
- 2.4 Efficient medication dispensing systems
- 2.5 Data-pushed decision support systems
- 3 Resources allocation
- 3.1 Maximizing personnel utilization via robotics
- 3.2 Automated inventory management for medical supplies
- 3.3 Dynamic bed allocation systems
- 3.4 Predictive analytics for equipment maintenance
- 3.5 Optimizing energy consumption in healthcare facilities
- 4 Benefits and challenges of necrobotics implementation
- 4.1 Improved patient outcomes and satisfaction
- 4.2 Enhanced healthcare provider productivity
- 4.3 Cost reduction and resource optimization
- 4.4 Ethical considerations and patient privacy
- 4.5 Regulatory and legal challenges
- 5 Future trends and innovations
- 5.1 Integration of artificial intelligence in necrobotics
- 5.2 Advancements in robotics and automation technologies
- 5.3 Ethical guidelines and standards
- 5.4 Patient-centric approaches in necrobotics
- 5.5 Global collaboration for healthcare innovation
- 6 Conclusion
- 6.1 Recapitulation of key findings
- 6.2 The future landscape of necrobotics in healthcare
- 6.3 Recommendations for successful implementation
- References
- Chapter 11 Futuristic Med-Tech transforming healthcare industry: Nanorobotics for healthcare applications and management in action
- Abstract
- Keywords
- 1 Introduction
- 1.1 Background of the study
- 1.2 Motivation of the study
- 1.3 Objectives of the chapter
- 2 Nanorobotics: An overview
- 2.1 Definition and it’s components
- 2.2 Technological advancements: Nanorobotics for healthcare
- 3 Applications of necrobotics in healthcare
- 3.1 Diagnostics
- 3.2 Drug delivery
- 3.3 Surgery and intervention
- 4 Nanorobotics in healthcare management
- 4.1 Data analytics and personalized medicine
- 4.2 Remote monitoring and telemedicine
- 5 Challenges and ethical considerations
- 5.1 Technical challenges
- 5.2 Ethical considerations
- 6 Future prospects and risks
- 6.1 Potential risks
- 6.2 Balancing promises and risks
- 7 Conclusion and future scope
- References
- Chapter 12 Vision among the dead: Integrating necrobotics and computer vision
- Abstract
- Keywords
- 1 Introduction
- 2 Methodology
- 2.1 Image preprocessing
- 2.2 Marking of danger area
- 2.3 Five-frame differencing
- 2.4 Five-frame background subtraction
- 2.5 Features
- 2.6 CNN-based classifier
- 3 Comparison with other object identification algorithms
- 4 Future scope and conclusion
- References
- Chapter 13 A framework for development of speech-controlled necrobot for health-care application
- Abstract
- Keywords
- 1 Introduction to speech-controlled robots
- 1.1 Architecture
- 2 Literature survey
- 2.1 Necrobots
- 3 Proposed scheme
- 3.1 Algorithm
- 4 Conclusion
- References
- Chapter 14 A framework for the development of an intelligent necrobot for classification and treatment of skin diseases
- Abstract
- Keywords
- 1 Introduction
- 2 Problem statement and the solution
- 2.1 The solution: Proposed scheme
- 2.2 Computational genetic-neuronal controller
- 3 Genetic-neuronal model for decision-making
- 4 Result
- 5 Conclusion
- References
- Chapter 15 RAEXO: A smartphone and semiactive actuation mechanism based a pilot prototype for rheumatoid arthritis rehabilitation
- Abstract
- Keywords
- 1 Introduction
- 2 State-of-the-art works related to RA rehabilitation
- 3 Materials and methods
- 3.1 Ethical declaration
- 4 Design of RAEXO
- 4.1 Semiactive actuation mechanism
- 4.2 Embedded system
- 4.3 Android application
- 4.4 Electrical system
- 4.5 Experimental setup
- 4.6 Range of motion
- 4.7 Output force
- 5 Results and discussion
- 6 Conclusion
- References
- Chapter 16 Prospect of necrobotics in healthcare applications— A critical analysis from the lens of law
- Abstract
- Keywords
- 1 Bioengineering and biohybridization
- 1.1 Promotion of innovative ecosystems
- 1.2 Biohybridization in public health care
- 2 Tech competition and bioeconomy
- 2.1 Necrobotics and socio-legal dilemma
- 3 Environmental governance
- 4 Innovative biotechnologies and socio-legal challenges
- 5 Conclusion
- References
- Index
- Edition: 1
- Published: February 28, 2025
- Imprint: Academic Press
- No. of pages: 380
- Language: English
- Paperback ISBN: 9780443248320
- eBook ISBN: 9780443248337
HK
Hemachandran Kannan
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.
Affiliations and expertise
Department of Artificial Intelligence & Business Analytics, Woxsen University, IndiaMM
Murugappan Murugappan
Professor Dr. M. Murugappan is a Full Professor in Electronics at Kuwait College of Science and Technology (KCST) since 2016. Additionally, he serves as a Visiting Professor at the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies in India, and an International Visiting Fellow at the Centre of Excellence in Unmanned Aerial Systems at Universiti Malaysia Perlis in Malaysia.
He holds an M.E. degree in Applied Electronics from Anna University, India, and received his Ph.D. in Mechatronic Engineering from Universiti Malaysia Perlis in 2010. Between 2010 and 2016, he worked as a Senior Lecturer at the School of Mechatronics Engineering, where he taught courses related to biomedical and mechatronics engineering.
Professor Murugappan has an outstanding research record, with numerous awards and research grants. His research in affective computing has received significant funding from Malaysia, Kuwait, and the UK.
He has published over 140 peer-reviewed conference proceedings papers, journal articles, and book chapters. Professor Murugappan is also a member of the editorial boards of prestigious journals, including PLOS ONE, Human Centric Information Sciences, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics.
Furthermore, he actively contributes to various IEEE Transactions as a reviewer and holds leadership roles, such as Chair of the IEEE Kuwait Section's Educational Activities Committee.
Affiliations and expertise
Full Professor, Kuwait College of Science and Technology, KuwaitRR
Raul Villamarin Rodriguez
Dr. Raul Villamarin Rodriguez is the Vice President of Woxsen University, where he holds the Steven Pinker Professorship in Cognitive Psychology and the Classavo Chair in Integrative Research and Digital Learning. He is also an Adjunct Professor at Universidad del Externado in Colombia and serves on the International Advisory Boards of IBS Ranepa in Russia and the University of Pécs Faculty of Business and Economics. Dr. Rodriguez represents India on the PRME i5 Expert Pedagogy Group and holds a Ph.D. in Artificial Intelligence and Robotics Process Automation in Human Resources. His expertise includes machine learning, deep learning, natural language processing, and quantum artificial intelligence. He is a registered expert in these fields with the European Commission and was nominated for the Forbes 30 Under 30 Europe 2020 list. Dr. Rodriguez has co-authored two reference books, published over 70 research papers, and is a regular contributor to various magazines on analytics and emerging technologies. He also serves as a journal reviewer and associate editor for several publications, including IEEE.
Affiliations and expertise
Professor & Vice President, Woxsen University, IndiaSR
Sivaramakrishnan Rajaraman
Dr. Rajaraman, an accomplished Research Scientist, is a significant contributor in the field of medical image processing ML/AI at the National Library of Medicine (NLM), part of the National Institutes of Health (NIH) in the USA. His efforts are directed toward leveraging computational sciences and engineering techniques to bring about a transformative impact on automated medical decision-making. Dr. Rajaraman's extensive research scope encompasses a wide range of domains, including machine learning, data science, biomedical image analysis, and computer vision.
Prior to his engagement with NLM, he garnered 15 years of academic experience, during which he imparted knowledge in core and allied subjects in electronics, communication, and biomedical engineering. His academic journey was paralleled by prolific publishing in both national and international journals and conferences.
Dr. Rajaraman actively contributes to the academic community as an editorial board member for premier journals such as PeerJ, PLOS ONE, and MDPI. His engagement extends to the meticulous review of manuscripts for over 100 esteemed journals and conferences. Furthermore, he upholds memberships in distinguished organizations including SPIE, IEEE, and BMES, underscoring his unwavering commitment to achieving excellence within his field of expertise.
Affiliations and expertise
National Institutes of Health, USARV
Rajesh Kumar K V
Rajesh Kumar K V currently holds the position of Assistant Professor in the Business Analytics area at the School of Business, Woxsen University, Hyderabad, India. He also serves as the Chair Professor of France Balanger of Information Systems. Rajesh is actively engaged as the Co-Chairperson of the Centre of Excellence – Sports Analytics and Management and holds the Advertflair Chair Professorship in Marketing and Advertising (AI Projects). He completed his M. Tech in Embedded Systems from JNTU, Kakinada, and holds an AMIE in ECE from the Institution of Engineers, Kolkata. His research journey led him to attain a Ph.D. from VIT University, Chennai.
Previously, Rajesh was associated with DRDO - DIPAS (Government of India) as a Junior Research Fellow. He also played a guiding role at upGrad Educational Private Limited, assisting students in selecting research problems and crafting theses that involve AI/ML models. This guidance benefited those pursuing M.Sc. in Data Science / AI ML courses from LIVERPOOL JOHN MOORES University through upGrad. His research specialization is centered around Human-Computer Interface-based signal Data Analytics for Bio-Medical Applications, Machine and Deep Learning, as well as Business Analytics.
Affiliations and expertise
Department of Artificial Intelligence & Business Analytics, Woxsen University, IndiaRead Necrobotics for Healthcare Applications and Management on ScienceDirect