Artificial Intelligence in Smart Healthcare Systems – serie
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25 produkter
25 produkter
Inbunden, Engelska, 2023
1 736 kr
Skickas inom 10-15 vardagar
Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects.The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.
Häftad, Engelska, 2024
685 kr
Skickas inom 10-15 vardagar
Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects.The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.
Inbunden, Engelska, 2022
1 776 kr
Skickas inom 10-15 vardagar
This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems.This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors.Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to—and at the same time brings industry professionals up to speed with—the important role soft computing techniques play in smart healthcare systems.
Häftad, Engelska, 2024
701 kr
Skickas inom 10-15 vardagar
This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems.This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the basics as well as the advanced concepts to help beginners, as well as industry professionals, get up to speed on the latest developments in healthcare systems. The book examines descriptive, predictive, and social network techniques and discusses analytical tools and the important role they play in finding solutions to problems in healthcare systems. A framework of robust and novel healthcare techniques is highlighted, as well as implementation strategies and a setup for future research endeavors.Healthcare Systems Using Soft Computing Techniques is a valuable resource for researchers and postgraduate students in healthcare systems engineering, computer science, information technology, and applied mathematics. The book introduces beginners to—and at the same time brings industry professionals up to speed with—the important role soft computing techniques play in smart healthcare systems.
Inbunden, Engelska, 2022
2 484 kr
Skickas inom 10-15 vardagar
Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services.This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.
Häftad, Engelska, 2024
701 kr
Skickas inom 10-15 vardagar
Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services.This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.
Inbunden, Engelska, 2023
2 413 kr
Skickas inom 10-15 vardagar
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
Inbunden, Engelska, 2023
1 930 kr
Skickas inom 10-15 vardagar
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 industryDiscusses the concepts, tools, and techniques of smart healthcare as well as the analysis usedDetails the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systemsPresents applications of smart healthcare through various real-world examplesIncludes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industryInterested 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.
Häftad, Engelska, 2024
705 kr
Skickas inom 10-15 vardagar
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 industryDiscusses the concepts, tools, and techniques of smart healthcare as well as the analysis usedDetails the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systemsPresents applications of smart healthcare through various real-world examplesIncludes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industryInterested 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.
Inbunden, Engelska, 2024
1 717 kr
Skickas inom 10-15 vardagar
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
- Nyhet
Häftad, Engelska, 2026
762 kr
Skickas inom 10-15 vardagar
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
Inbunden, Engelska, 2023
2 073 kr
Skickas inom 10-15 vardagar
The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the implementation of cost-effective, real-time, and user-friendly solutions for healthcare problems. Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective presents the trends, best practices, techniques, developments, sensors, materials, and case studies that are using augmented and virtual reality environments with the state-of-the-art latest technologies like IoT, blockchain, and machine learning in the implementation of healthcare systems. The book focuses on the design and implementation of smart healthcare systems with major challenges to further explore more robust and efficient healthcare solutions in terms of low cost, faster algorithms, more sensitive IoT sensors, faster data communication, and real-time solutions for treatment. It discusses the use of virtual and augmented reality and how it can provide user-friendly and interactive communication within healthcare systems. Illustrated through case studies, the book conveys how different hospitals and healthcare equipment providers can adopt good practices found in the book to improve the performance/productivity of their staff and system. The content is rounded out by providing how IoT, blockchain, and artificial intelligence can provide the framework for designing and/or upgrading traditional healthcare systems by increasing security and data privacy. A valuable resource for engineers working with systems, the healthcare professionals involved in the design and development of healthcare devices and systems, researcher scholars, multidisciplinary scientists, students, and academics who are wishing to explore the use of virtual and augmented reality in new and existing healthcare systems.
Häftad, Engelska, 2025
685 kr
Skickas inom 10-15 vardagar
The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare. The book uses a blend of interdisciplinary approaches such as IoT, blockchain, augmented reality, and virtual reality for the implementation of cost-effective, real-time, and user-friendly solutions for healthcare problems. Immersive Virtual and Augmented Reality in Healthcare: An IoT and Blockchain Perspective presents the trends, best practices, techniques, developments, sensors, materials, and case studies that are using augmented and virtual reality environments with the state-of-the-art latest technologies like IoT, blockchain, and machine learning in the implementation of healthcare systems. The book focuses on the design and implementation of smart healthcare systems with major challenges to further explore more robust and efficient healthcare solutions in terms of low cost, faster algorithms, more sensitive IoT sensors, faster data communication, and real-time solutions for treatment. It discusses the use of virtual and augmented reality and how it can provide user-friendly and interactive communication within healthcare systems. Illustrated through case studies, the book conveys how different hospitals and healthcare equipment providers can adopt good practices found in the book to improve the performance/productivity of their staff and system. The content is rounded out by providing how IoT, blockchain, and artificial intelligence can provide the framework for designing and/or upgrading traditional healthcare systems by increasing security and data privacy. A valuable resource for engineers working with systems, the healthcare professionals involved in the design and development of healthcare devices and systems, researcher scholars, multidisciplinary scientists, students, and academics who are wishing to explore the use of virtual and augmented reality in new and existing healthcare systems.
Inbunden, Engelska, 2024
1 503 kr
Skickas inom 10-15 vardagar
This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This bookDelivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the fieldPresents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image dataProvides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstructionHighlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applicationsThis book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.
Häftad, Engelska, 2026
774 kr
Kommande
This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This bookDelivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the fieldPresents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image dataProvides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstructionHighlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applicationsThis book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.
Inbunden, Engelska, 2024
2 571 kr
Skickas inom 10-15 vardagar
Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
Häftad, Engelska, 2025
905 kr
Skickas inom 10-15 vardagar
Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
Inbunden, Engelska, 2024
2 571 kr
Skickas inom 10-15 vardagar
This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems.Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications.Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.
Häftad, Engelska, 2025
862 kr
Skickas inom 10-15 vardagar
This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems.Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications.Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.
Inbunden, Engelska, 2024
1 503 kr
Skickas inom 10-15 vardagar
This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.
Häftad, Engelska, 2025
762 kr
Skickas inom 10-15 vardagar
This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms.Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions.This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.
Inbunden, Engelska, 2025
1 717 kr
Skickas inom 10-15 vardagar
Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.Interested readers 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.
Inbunden, Engelska, 2025
2 215 kr
Skickas inom 10-15 vardagar
Generative artificial intelligence (AI) is a transformative force in smart healthcare. It can produce contents virtually indistinguishable from human-created material, with the power to redefine healthcare and revolutionize how medical science interacts with technology. This book presents the potential applications and benefits of generative AI in healthcare and discusses its execution challenges and ethical aspects.Generative Artificial Intelligence in Healthcare: Current Practices and Future Development starts by reviewing the past and then discussing the present of generative AI-based systems and the potential challenges the future might bring. It then highlights the integration of generative AI with IoT and blockchain technologies along with offering case studies. The book explores how to integrate augmented and virtual reality into generative AI-based healthcare and covers the development of an effective machine algorithm for generative AI-based healthcare, as well as the design and implementation of generative adversarial networks (GANs) in healthcare systems.Discussions about data security and ergonomic design for healthcare products are also included in the book. This book will provide a platform for the past, present, and future of generative AI and will help researchers and healthcare practitioners generate more robust solutions.
Inbunden, Engelska, 2025
2 215 kr
Skickas inom 10-15 vardagar
In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform the field of neural rehabilitation. This book sets the stage for the exploration of deep learning's significant impact on the revitalization of healthcare through neural rehabilitation.Neural Rehab: Deep Learning in Healthcare Revitalization offers a detailed exploration of the intersection between deep learning and neural rehabilitation, shedding light on a critical area in healthcare. Through real-life examples and case studies, readers will gain a practical understanding of how deep learning is utilized in everyday healthcare settings to improve patient outcomes. The focus is on how deep learning algorithms are being used to personalize rehabilitation plans, demonstrating how technology can tailor interventions to meet the unique needs and progress of each individual. The book covers various aspects of neural rehabilitation, such as stroke recovery, brain injuries, and neurological disorders, providing readers with a comprehensive understanding of the subject matter. A key emphasis is placed on the patient-centric approach, showcasing how deep learning contributes to enhanced patient experiences, improved recovery, and an overall better quality of life.This book is essential reading for healthcare professionals, researchers, and anyone interested in the intersection of deep learning and neural rehabilitation.
Inbunden, Engelska, 2025
1 503 kr
Skickas inom 10-15 vardagar
The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem.Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs.This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.