The Role of Artificial Intelligence in Advanced Prosthetics and Implantable Devices
Rajesh David, Gurpreet Singh Walia, Rajesh Jagadeesan Ravikumar, Krishna Bonagiri
Indexed In: google scholar
Release Date: 12/03/2025 | Copyright:©2025 | Pages: 464
DOI: 10.71443/9789349552975
ISBN10: 9349552973 | ISBN13: 9789349552975
Artificial Intelligence (AI) is revolutionizing the field of advanced prosthetics and implantable medical devices, enabling unprecedented levels of precision, adaptability, and patient-centric care. This book explores the latest innovations in AI-driven prosthetic limbs, neural interfaces, and bio-integrated implants, highlighting how machine learning, deep learning, and reinforcement learning enhance functionality, sensory feedback, and real-time adaptability. It delves into the integration of AI with biomechanics, Internet of Things (IoT), and brain-machine interfaces to create intelligent, self-adjusting systems. Addressing key challenges, ethical considerations, and future directions, this book serves as a comprehensive resource for researchers, clinicians, and engineers shaping the future of assistive healthcare technologies.
Artificial Intelligence (AI) is transforming advanced prosthetics and implantable devices by making them more intelligent, adaptive, and efficient. AI-powered prosthetics use machine learning and neural interfaces to interpret bioelectrical signals, allowing for precise and natural movement control. These systems continuously learn and adjust to the user’s needs, enhancing comfort and functionality. In implantable devices, AI enables real-time monitoring, early detection of health issues, and personalized interventions by analyzing vast amounts of physiological data. The combination of AI with robotics, biosensors, and brain-computer interfaces is driving innovation, leading to prosthetic and implant technologies that improve mobility, responsiveness, and overall patient well-being. As AI continues to evolve, it will play a crucial role in developing more intuitive and seamlessly integrated medical solutions.
Rajesh David holds a Master’s degree in Computer Science from Alagappa University, India and a Bachelor’s degree in Computer Science from Bharathidasan University. He is currently pursuing his PhD with a focus on Cybersecurity and Artificial Intelligence. His research interest focuses on the Malware Analysis, Malware Prediction and Detection, and anomaly detection of user level access. He is in the process of filling patents with respect to Cybersecurity and Machine learning. Rajesh David has over 18 years of experience in the computer science industry, he works as an Application Architect in the United States.
Gurpreet Singh Walia is a seasoned cybersecurity and networking professional with over 20 years of experience in designing, implementing, and managing secure IT infrastructures. As a Lead Architect, Gurpreet has been at the forefront of developing innovative solutions to address the evolving challenges in cybersecurity. His extensive career spans multiple sectors, where he has successfully led large-scale projects, advised on security frameworks, and contributed to the advancement of network security protocols.
With a passion for research and continuous learning, Gurpreet has authored several influential papers, which have been recognized in the industry for their practical insights and technical depth. His expertise covers a wide array of areas, including threat analysis, network security, secure system architecture, and cloud-based security strategies.
Rajesh Jagadeesan Ravikumar is a highly experienced professional in the field of Computer Science, specializing particularly in Cybersecurity. His expertise spans areas such as Malware Analysis, Threat Deduction, Threat Classification, and System Protection. Rajesh also possesses a deep understanding of Cloud technologies, with a specific focus on Amazon Web Services (AWS).
Educationally, Rajesh holds a Bachelor’s degree in Engineering from Anna University, which laid a robust foundation for his career in technology. Currently based in the United States of America, he serves as a Technology Lead, utilizing his extensive knowledge to drive forward various projects and initiatives.
Krishna Bonagiri has received an Master Of Technology in Spatial Information Technology from JNTU, Hyderabad. He has twenty-five plus years of experience in the IT industry. Currently, he is working as an Vice President Engineering at Quadrant Technologies in United States of America. He has spearheaded numerous initiatives aimed at harnessing the transformative power of data and AI. His proficiency lies not only in architecting scalable solutions but also in pioneering innovative approaches that leverage data-driven insights and AI algorithms to drive business growth and enhance operational efficiency.