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Analyzing Current Digital Healthcare Trends Using Social Networks

Author : Baral, Sukanta Kumar

Publisher : IGI Global

Page : 330 pages

File Size : 31,11 MB

Release : 2024-04-05

Category : Computers

ISBN :

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Book Description

In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident – a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digital Healthcare Trends Using Social Networks undertakes with groundbreaking academic rigor. This book is a key resolution to this overarching problem, and it is meticulously designed to serve academic scholars seeking to unravel the intricacies of the digital healthcare ecosystem. By delving deep into the web of stakeholders, industry-specific challenges, and regulatory frameworks, it provides a comprehensive analysis that is long overdue. Extensive use of research articles, case studies, and empirical evidence serves as a compass to navigate the complexities of digital healthcare. The ultimate goal is to empower academic scholars with knowledge, bridging the gap between theory and practice.



Artificial Intelligence in Healthcare

Author : Adam Bohr

Publisher : Academic Press

Page : 385 pages

File Size : 17,9 MB

Release : 2020-06-21

Category : Computers

ISBN : 0128184396

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Book Description

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data



Advances in Computational Intelligence for the Healthcare Industry 4.0

Author : Shah, Imdad Ali

Publisher : IGI Global

Page : 389 pages

File Size : 21,83 MB

Release : 2024-04-26

Category : Medical

ISBN :

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Book Description

In the dynamic environment of healthcare, the fusion of Computational Intelligence and Healthcare Industry 4.0 has enabled remarkable advancements in disease detection and analysis. However, a critical challenge persists – the limitations of current computational intelligence approaches in dealing with small sample sizes. This setback hampers the performance of these innovative models, hindering their potential impact on medical applications. As we stand at the crossroads of technological innovation and healthcare evolution, the need for a solution becomes paramount. Advances in Computational Intelligence for the Healthcare Industry 4.0 is a comprehensive guide addressing the very heart of this challenge. Designed for academics, researchers, healthcare professionals, and stakeholders in Healthcare Industry 4.0, this book serves as a source of innovation. It not only illuminates the complexities of computational intelligence in healthcare but also provides a roadmap for overcoming the limitations posed by small sample sizes. From fundamental principles to innovative concepts, this book offers a holistic perspective, shaping the future of healthcare through the lens of computational intelligence and Healthcare Industry 4.0.



Revolutionizing Healthcare Treatment With Sensor Technology

Author : Das, Sima

Publisher : IGI Global

Page : 399 pages

File Size : 24,78 MB

Release : 2024-05-28

Category : Medical

ISBN :

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Book Description

Traditional patient care and treatment approaches often lack the personalized and interactive elements necessary for effective healthcare delivery. This means that the healthcare industry must find innovative solutions to improve patient outcomes, enhance rehabilitation processes, and optimize resource utilization. There is a gap between the traditional approach and the need for innovation that highlights the importance of a comprehensive understanding of emerging technologies, including Kinect Sensor technology, and the potential to transform healthcare practices with this tech. Revolutionizing Healthcare Treatment With Sensor Technology addresses this critical need by thoroughly exploring how Kinect Sensor technology can revolutionize patient care and treatment methodologies. By repurposing and customizing Kinect Sensor for healthcare applications, this book showcases how depth-sensing cameras, infrared sensors, and advanced motion tracking can capture and interpret real-time patient movements and interactions. This book is ideal for healthcare professionals, hospital administrators, researchers, patients, caregivers, and healthcare technology developers seeking to leverage Kinect Sensor technology for enhanced healthcare delivery. Through detailed case studies and practical examples, experts can learn how to integrate Kinect Sensor into various medical settings to gain valuable insights into patients' physical capabilities, monitor their progress, and create personalized treatment plans.



Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems

Author : Liu, Haipeng

Publisher : IGI Global

Page : 407 pages

File Size : 50,24 MB

Release : 2024-08-05

Category : Medical

ISBN :

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Book Description

As the demand for advanced technologies to revolutionize patient care intensifies, the medical industry faces a pressing need to confront challenges hindering the assimilation of AI-enhanced healthcare systems. Issues such as data interoperability, ethical considerations, and the translation of AI advancements into practical clinical applications pose formidable hurdles that demand immediate attention. It is within this context of challenges and opportunities that the book, Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems promises to pave the way for a transformative era in healthcare. The book serves as a comprehensive guide for academic scholars, researchers, and healthcare professionals navigating the dynamic landscape of data-driven, AI-enhanced healthcare. By showcasing the latest advancements, the book empowers its readers to not only comprehend the existing frontiers in data sciences and healthcare technologies but also to actively contribute to overcoming obstacles. Through detailed case studies and practical guidance, the publication equips its audience with the skills necessary to implement AI in various clinical settings.



Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care

Author : Murugan, Thangavel

Publisher : IGI Global

Page : 418 pages

File Size : 29,27 MB

Release : 2024-07-22

Category : Medical

ISBN :

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Book Description

Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today’s world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more.



Enhancing Medical Imaging with Emerging Technologies

Author : Sharma, Avinash Kumar

Publisher : IGI Global

Page : 412 pages

File Size : 13,32 MB

Release : 2024-04-15

Category : Medical

ISBN :

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Book Description

The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field. Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field. This book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.



Technologies for Sustainable Healthcare Development

Author : Murugan, Thangavel

Publisher : IGI Global

Page : 421 pages

File Size : 48,77 MB

Release : 2024-07-26

Category : Business & Economics

ISBN :

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Book Description

In contemporary healthcare, Industry 5.0 technologies present a paradoxical challenge and opportunity. The rapid integration of Cyber Physical Systems, Cloud Computing, Internet of Things, Artificial Intelligence, Smart Factories, and Cognitive Computing has ushered in unprecedented transformations, yet it has concurrently given rise to critical vulnerabilities within healthcare systems. As sensitive patient data becomes increasingly digitized, the specter of cybersecurity threats looms larger than ever. The book, titled "Technologies for Sustainable Healthcare Development," undertakes the crucial task of addressing this pressing concern. Focused on Cybersecurity and Data Science Innovations in Industry 5.0 Technologies for Sustainable Healthcare, it serves as an indispensable guide for professionals, researchers, and policymakers aiming to fortify healthcare systems against unauthorized access and cyber threats while unlocking the potential of transformative technologies. The overarching objective of Technologies for Sustainable Healthcare Development is to dissect the challenges posed by the convergence of cybersecurity, data science, and Industry 5.0 in healthcare. This timely publication delves into the evolution of cybersecurity and data science, providing insights into their symbiotic relationship and the implications for healthcare. Through its exploration of cutting-edge research, innovative solutions, and practical applications, the book becomes a beacon for those seeking to navigate the evolving landscape of secure healthcare development. It does not merely dissect problems but endeavors to provide sustainable development strategies, contributing to the advancement of robust and efficient healthcare systems.



AI-Driven Alzheimer's Disease Detection and Prediction

Author : Lilhore, Umesh Kumar

Publisher : IGI Global

Page : 477 pages

File Size : 48,21 MB

Release : 2024-08-09

Category : Medical

ISBN :

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Book Description

Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.



Advancements in Clinical Medicine

Author : Paramasivan, P.

Publisher : IGI Global

Page : 453 pages

File Size : 26,99 MB

Release : 2024-05-01

Category : Medical

ISBN :

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Book Description

Healthcare professionals face a range of challenges in modern clinical medicine, from managing neurodegenerative disorders like Alzheimer's disease to treating allergic rhinitis in elderly populations. These challenges require innovative solutions, as traditional diagnostic and treatment methods may only sometimes be effective. How can clinicians navigate these challenges and provide the best possible care for their patients? Advancements in Clinical Medicine is a resource that provides practical solutions to these challenges through innovative approaches like machine learning integration and super-resolution reconstruction techniques revolutionize how we approach diagnosis and treatment. By leveraging cutting-edge technologies like artificial intelligence, this book equips scholars and practitioners with the tools they need to tackle even the most daunting medical challenges head-on.