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Author: Yu-Dong Zhang
Publisher: Frontiers Media SA
ISBN: 2832508731
Category : Science
Languages : en
Pages : 177
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Book Description
Author: Yu-Dong Zhang
Publisher: Frontiers Media SA
ISBN: 2832508731
Category : Science
Languages : en
Pages : 177
Get Book Here
Book Description
Author: Steven Fernandes
Publisher: Frontiers Media SA
ISBN: 2832538037
Category : Medical
Languages : en
Pages : 140
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Book Description
This Research Topic is a follow on from the Topic Editors' successful volume I. Artificial Intelligence (AI) has the ability to perform automated/case-based reasoning, constraint processing, deep learning, and deep reinforcement learning. Recent advancements in AI techniques and GPU (graphics processing unit) computing capabilities have made it possible to process large volumes of data and extract valuable insights within a short period. Digital public health data are enormous, and harnessing AI's power can lead to exciting and ground-breaking research. Due to the current COVID-19 pandemic, AI can assist in disease surveillance methods, infectious disease modeling, non-contact temperature screening, intelligent contact tracking, detecting social/economic factors on transmission, effective health communication and misinformation detection, identifying factors that affect the mental and emotional health of the public.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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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
Author: Chatterjee, Lagnajita
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 315
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Book Description
In the wake of the digital healthcare revolution, a critical challenge has emerged: the lack of a comprehensive understanding stemming from fragmented research. Despite the industry's meteoric rise, existing literature often compartmentalizes insights, neglecting the intricate multi-sector collaborations that fuel its progress. This gap hinders scholars and industry professionals, leaving them with a myopic view of the digital healthcare landscape. The urgent need for a holistic exploration has never been more apparent. Multi-Sector Analysis of the Digital Healthcare Industry is a groundbreaking book that will uncover the complexities of digital healthcare with a panoramic lens. This carefully curated collection of cross-functional chapters is a beacon guiding academics and industry specialists through the difficulties of the industry's past, present, and future. With experts from fields spanning medicine, technology, business, and regulatory sectors, this book addresses the limitations of current research but serves as a compass for those seeking a more profound comprehension of digital healthcare's collaborative dynamics.
Author: INDRA REDDY MALLELA SANDHYARANI GANIPANENI SRINIVASULU HARSHAVARDHAN KENDYALA SHALU JAIN
Publisher: DeepMisti Publication
ISBN: 9360446831
Category : Computers
Languages : en
Pages : 173
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Book Description
In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Artificial Intelligence in Healthcare: Innovations, Challenges, and Future Perspectives, is conceived to bridge the gap between emerging technological advancements in artificial intelligence and their strategic application in healthcare management. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of AI technologies, particularly in the healthcare sector, and their integration into medical practices. From foundational theories to advanced applications, we delve into the critical aspects that drive successful innovation in healthcare environments. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, healthcare professionals, and industry leaders. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world healthcare scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from technological development and AI adoption to the strategic management of healthcare innovation. Additionally, we emphasize the importance of effective communication, dedicating sections to the art of presenting innovative ideas and solutions in a precise and academically rigorous manner. The inspiration for this book arises from a recognition of the crucial role that AI technologies and healthcare management play in shaping the future of medical services. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how AI technologies and healthcare management can be harnessed together to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating innovative solutions that will define the future of healthcare. Thank you for joining us on this journey. Authors
Author: Jody Ranck
Publisher: Springer
ISBN: 3319409808
Category : Medical
Languages : en
Pages : 198
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Book Description
This clear-sighted volume introduces the concept of “disruptive cooperation”— transformative partnerships between the health and technology sectors to eliminate widespread healthcare problems such as inequities, waste, and inappropriate care. Emphasizing the most pressing issues of a world growing older with long-term chronic illness, it unveils a new framework for personalized, integrative service based in mobile technologies. Coverage analyzes social aspects of illness and health, clinically robust uses of health data, and wireless and wearable applications in intervention, prevention, and health promotion. And case studies from digital health innovators illustrate opportunities for coordinating the service delivery, business, research/science, and policy sectors to promote healthier aging worldwide. Included among the topics: Cooperation in aging services technologies The quantified self, wearables, and the tracking revolution Smart healthy cities: public-private partnerships Beyond silos to data analytics for population health Cooperation for building secure standards for health data Peer-to-peer platforms for physicians in underserved areas: a human rights approach to social media in medicine Disruptive Cooperation in Digital Health will energize digital health and healthcare professionals in both non-profit and for-profit settings. Policymakers and public health professionals with an interest in innovation policy should find it an inspiring ideabook.
Author: Olivier Beauchet
Publisher: Frontiers Media SA
ISBN: 2832550185
Category : Medical
Languages : en
Pages : 180
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Book Description
In 2019, the World Health Organization demonstrated with a scoping review that art-based activities, regardless of their characteristics, have promising health benefits. More specifically, practicing art-based activities was demonstrated to contribute to core determinants of health, to play a key role in health promotion and prevention—especially with regard to the onset of mental illness and age-related physical decline—and to assist in acute and end-of-life care. This report also underscored, first, a lack of robust data on art’s health benefits, meaning data obtained with gold-standard experimental study designs (i.e., randomized control trials) and second, that certain topics (e.g., social health) and populations (e.g., older community dwellers) have been underexamined. In addition, little is known about both the mechanisms of art’s health benefits and how to implement an art-based activity for health purposes in practice.
Author: Sébastien Ziegler
Publisher: Springer Nature
ISBN: 3031396502
Category :
Languages : en
Pages : 998
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Book Description
Author: Saura, Jose Ramon
Publisher: IGI Global
ISBN: 1799896110
Category : Computers
Languages : en
Pages : 410
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Book Description
In today’s global culture where the internet has established itself as a main tool of communication, the global system of economy and regulations, as well as data and decisions based on data analysis, have become essential for public actors and institutions. Governments need to be updated and use the latest technologies to understand what society’s demands are, and user behavioral data, which can be pulled by intelligent applications, can offer tremendous insights into this. The Handbook of Research on Artificial Intelligence in Government Practices and Processes identifies definitional perspectives of behavioral data science and what its use by governments means for automation, predictability, and risks to privacy and free decision making in society. Many governments can train their algorithms to work with machine learning, leading to the capacity to interfere in the behavior of society and potentially achieve a change in societal behavior without society itself even being aware of it. As such, the use of artificial intelligence by governments has raised concerns about privacy and personal security issues. Covering topics such as digital democracy, data extraction techniques, and political communications, this book is an essential resource for data analysts, politicians, journalists, public figures, executives, researchers, data specialists, communication specialists, digital marketers, and academicians.
Author: Josep Bassaganya-Riera
Publisher:
ISBN: 9783319732398
Category : Drug development
Languages : en
Pages :
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Book Description
Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.
