Integrating Ai With Haptic Systems For Smarter Healthcare Solutions
Download Integrating Ai With Haptic Systems For Smarter Healthcare Solutions PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Integrating Ai With Haptic Systems For Smarter Healthcare Solutions book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Integrating AI With Haptic Systems for Smarter Healthcare Solutions
The convergence of artificial intelligence (AI) and haptics in the context of healthcare applications is useful for advancing the healthcare field. Through cutting-edge research, AI can be used for sensing systems and feedback technologies. Ultimately, it can be applied to advance rehabilitation robotics and telesurgery. As a result, real-world implementations of AI may revolutionize medical robots, diagnostics, and patient care. Thus, the convergence of AI and haptics is crucial for inspiring future collaboration and fostering global progress in healthcare technologies. Integrating AI With Haptic Systems for Smarter Healthcare Solutions advances the knowledge base in the rapidly evolving fields of medical robotics and haptic technologies. By addressing key challenges such as precision, security, and energy efficiency, it drives innovation in healthcare, improves patient outcomes, and contributes to interdisciplinary advancements across AI, robotics, and medicine. Covering topics such as augmented sensory perception, neuro feedback, and patient-centric healthcare systems, this book is an excellent resource for biomedical engineers, healthcare technologists, clinicians, surgeons, policymakers, professionals, researchers, scholars, academicians, and more.
Smart Healthcare, Clinical Diagnostics, and Bioprinting Solutions for Modern Medicine
The concept of smart healthcare is considerably optimistic thanks to the applications of artificial intelligence as well as augmented and virtual reality (AR/VR) which work in tandem to enhance better results and better delivery of care. The algorithm developed with the help of modern technology is aimed at analyzing and interpreting a significant volume of clinical healthcare data with the aim of enhancing diagnosis and practices. Additionally, 3-dimesional (3D) bioprinting is revolutionizing healthcare by fabricating biological tissues and organs for clinical regenerative medicine and surgical advances. Thus, personalized medicine can go a step further with providing clinical treatments that have specific doses and drugs combinations of the patients in need. Smart Healthcare, Clinical Diagnostics, and Bioprinting Solutions for Modern Medicine explores the revolution that smart healthcare is having on the improvement of management of hospitals through increased operational efficiency, adequate conformation of resources, and smooth patient flows. It advances processes that are utilized in clinical diagnosis with the aid of predictive modelling with best practices. Covering topics such as disease prediction, remote healthcare monitoring, and intelligent healthcare supply chains, this book is an excellent resource for policymakers, clinicians, information technologists, data scientists, biomedical engineers, professionals, researchers, scholars, academicians, and more.
6G-Enabled IoT and AI for Smart Healthcare
In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI. 6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry. This book: Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industry Discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems Presents applications of smart healthcare through various real-world examples Includes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industry Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.