Samiya Khan – författare

Extended Reality for Healthcare Systems: Recent Advances in Contemporary Research focuses on real world applications in medicine, also providing an overview of emerging technologies. The book includes case studies that break down the ways in which this technology has and can be used, while also taking readers through evidence, best practices and obstacles. Sections emphasize evidence, research-based practices and work. Content coverage includes Enhancing Medical Education with AR/VR, and XR: The Future of Surgery and Building Systems for Enhanced Health, and more. Readers will learn how to use this technology to improve existing systems by enhancing precision and reducing costs.

Other sections cover extended reality in elderly care and remote monitoring of patients, building systems for enhanced health, including telehealth and telepsychiatry, using AR and VR in medical education, and designing technology for use in telesurgery.

Offers advice on the development of state-of-the-art tech-driven healthcare systems and technologies for improving the quality of healthcare Focuses on healthcare solutions that are inclusive and cost-effective Discusses the future, limitations and challenges associated with the use and adoption of XR for healthcare

Virtual Possibilities: Extended Reality as Assistive Technology for Inclusive Care provides invaluable insights for researchers and related medical professionals into the transformative potential of virtual reality as a technological aid. The book navigates through the diverse applications of virtual reality in healthcare, transcending traditional uses such as medical training and therapeutic interventions. It is a dedicated examination of virtual reality's role in social care, addressing the unique needs of individuals across the spectrum, from differently abled individuals and children with learning disabilities to those grappling with disorders, trauma, and the elderly. It presents the state-of-the-art in this field, acting as a bridge, facilitating the translation of theory into practice and fostering ongoing research. Users will find this to be a valuable resource for researchers, professionals, and policymakers interested in the future applications of virtual reality in healthcare and social care.Offers a thorough examination of the possibilities and prospects of using virtual reality as an assistive technologyEstablishes the practical implications and effectiveness of virtual reality as an assistive technologyPresents the current state-of-the-art in virtual reality as an assistive technologyServes as a guide for future research and development in the field

Intelligent Semantic Analysis for Healthcare explores the latest trends, developments, and future directions of intelligent semantic analysis techniques on retrieving and managing meaningful medical information for healthcare information systems. The book explores different computational methods, ideas, strategies, and techniques to analyze relevant healthcare information in an innovative and efficient way, thus bridging the gap between gathering and comprehending data with healthcare and biological applications. It offers a comprehensive view of intelligent semantic analysis in healthcare, bridging the gap between data collection and healthcare applications, and providing innovative computational methods for data analysis.Sections focus on intelligent semantic analysis rather than broader topics of big data and healthcare analytics. Additionally, the book is geared towards practical approaches and innovative techniques for state-of-the-art and current challenges in healthcare data management.Explores the operation of future healthcare data systems, enhancing clinical resources to ensure optimal patient outcomesHighlights trends, challenges, opportunities, and future areas in healthcare informatics, focusing on accessing extensive datasets containing potentially lifesaving informationPresents case studies that demonstrate the intelligent analysis of healthcare information through the combination of real-time data, predictions, and advanced computer programs

AI-Driven Diagnostics for 6G-Enabled Smart Healthcare explores the transformative integration of artificial intelligence (AI) and next-generation 6G networks in the healthcare sector. The book begins by highlighting the evolution of healthcare technology and the critical role of AI-driven diagnostics, emphasizing how 6G facilitates real-time, ultra-reliable communication. Key features of 6G, such as ultra-low latency and massive connectivity, are discussed, showcasing their impact on advanced healthcare applications like remote diagnostics and patient monitoring. The integration of AI in medical diagnostics is examined, focusing on machine learning and deep learning techniques that enhance disease detection through medical imaging and clinical data analysis. The book explores the benefits of remote patient monitoring, particularly for underserved populations, and explores edge AI for localized, low-latency diagnostic processing. Real-time imaging diagnostics are highlighted, demonstrating how 6G supports rapid transfer and analysis of high-resolution medical images. It also addresses predictive analytics, detailing AI models that forecast diseases and the role of IoT devices and wearables in healthcare diagnostics. Concepts of smart hospitals and the integration of blockchain technology for security and data integrity are discussed. Ethical considerations and regulatory challenges are thoroughly examined, ensuring patient privacy and compliance. The book concludes with insights into future trends and emerging technologies in AI diagnostics, including quantum AI and next-generation sensors.Combines artificial intelligence with next-generation 6G networks, addressing the critical advancements in healthcare diagnosticsEmphasizes the capabilities of 6G in enabling ultra-low latency and high-speed data transfer, facilitating real-time decision-making in clinical settingsAddresses the ethical considerations and regulatory frameworks necessary for implementing AI diagnostics in a 6G-enabled environment, ensuring patient privacy and complianceIncludes real-world case studies that demonstrate the successful application of AI diagnostics over 6G networks, providing actionable insights and lessons learned for practitioners

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.

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.

The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0.Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving carsHighlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domainsDiscusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical roboticsExplains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering.

The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0.Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving carsHighlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domainsDiscusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical roboticsExplains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering.

The book covers the strategies and frameworks for designing and developing intelligent systems to solve real-life problems related to digital health, telemedicine, and smart-cities applications.Covers the essence of human-computer interaction in healthcare applications, along with possibilities with generative artificial intelligenceDiscusses quality use of human cognition for the design and development of information processing systems from an industry perspective with human-computer interaction-based technologiesPresents the strategies or framework for designing and developing intelligent systems to solve real-life problems related to digital health, telemedicine, and smart-cities applicationsExplains security and privacy issues in designing and developing of cyber-physical systems applications for healthcare and smart citiesExplores emerging trends, challenges, and opportunities in the fields of augmented reality interfaces, affective computing, and ethical considerations in human-computer interaction designThe text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology.

This books objective is to explore the concepts and applications related to Internet of Things with the vision to identify and address existing challenges. Studies investigate applications for crowd sensing and sourcing, as well as smart applications to healthcare solutions, agriculture and intelligent disaster management.

This books objective is to explore the concepts and applications related to Internet of Things with the vision to identify and address existing challenges. Studies investigate applications for crowd sensing and sourcing, as well as smart applications to healthcare solutions, agriculture and intelligent disaster management.

Healthcare 5.0 represents a paradigm-shifting period in healthcare, defined by the amalgamation of cutting-edge technologies like Artificial Intelligence (AI), Big-Data, Brain Computer Interface, Experience Reality (XR), Internet of Things (IoT), and Robotics to fabricate intelligent, adaptable, patient-focused and reliable healthcare systems. This book investigates the ideas of AI-driven workspaces in the context of sustainable telemedicine, that is, healthcare that delivers high quality care services by using advanced technologies in an affordable way, while minimising the impact on the environment. It thoroughly explores AI aligned areas to provide tangible healthcare solutions with the incorporation of proposed ideas, possible results based on designed & developed frameworks or applications, and suitable case studies. It is intended to provide innovators, IT specialists, and healthcare professionals with useful insights and pointers for implementing or improving AI-driven telemedicine solutions in a sustainable manner.