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Author: Vig, Komal
Publisher: IGI Global
ISBN:
Category : Law
Languages : en
Pages : 444
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Book Description
Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.
Author: Vig, Komal
Publisher: IGI Global
ISBN:
Category : Law
Languages : en
Pages : 444
Get Book Here
Book Description
Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.
Author: Christian Kaunert
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.
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: Tshilidzi Marwala
Publisher: Springer Nature
ISBN: 9819792517
Category :
Languages : en
Pages : 251
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Book Description
Author: Allam Hamdan
Publisher: Springer Nature
ISBN: 3030720802
Category : Technology & Engineering
Languages : en
Pages : 503
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Book Description
This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.
Author: Bouarar, Ahmed Chemseddine
Publisher: IGI Global
ISBN: 1668483386
Category : Medical
Languages : en
Pages : 467
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Book Description
In the field of health, digital health has assumed significant importance in recent years due to its contribution to enhancing the overall healthcare system performance in terms of alleviating the ever-growing pressure on the healthcare system, reducing healthcare costs, improving working conditions and job satisfaction of health professionals, improving patients’ satisfaction, and providing a holistic view of patient health through access to data and giving patients more control over their health. Therefore, it is of vital importance to understand the overwhelming possibilities and promise it can offer for better health services. Similarly, exploring barriers to digital health engagement is an important tool to guarantee an effective adoption and transition that can meet all healthcare stakeholders’ objectives. Integrating Digital Health Strategies for Effective Administration explores recent writings and original research findings in the field of digital health with a special focus on digital health adoption strategies and challenges. This book is intellectually situated between digital health management and digital health technologies. Covering topics such as digital health literacy, machine learning, and procedural law, this premier reference source is an essential resource for app developers, healthcare administrators, healthcare professionals, students and educators of higher education, researchers, and academicians.
Author: Francesca Mazzi
Publisher: Springer Nature
ISBN: 3031286782
Category : Philosophy
Languages : en
Pages : 170
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Book Description
This annual edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Governance Research Group of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The 2022 edition of the Yearbook presents research on the following topics: autonomous weapons, cyber weapons, digital sovereignty, smart cities, artificial intelligence for the Sustainable Development Goals, vaccine passports, and sociotechnical pragmatism as an approach to technology. This text appeals to students, researchers, and professionals in the field.
Author: Burrell, Darrell Norman
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 608
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Book Description
In today's complex world, the intersection of inclusion, equity, and organizational efficiency has reached unprecedented levels, driven by events like the great resignation, the emergence of workplace cultures such as #MeToo and Bro culture, and societal movements like Black Lives Matter and pandemic-exposed disparities. This convergence highlights the urgent need for transformative change in healthcare, education, business, and technology. Organizations grapple with issues like racial bias in Artificial Intelligence, fostering workplace psychological safety, and conflict management. The escalating demands for diversity and inclusivity present a pressing challenge, necessitating holistic solutions that harness collective perspectives to drive real progress. Transformational Interventions for Business, Technology, and Healthcare emerges as a beacon for academic scholars seeking actionable insights. Dr. Burrell's two decades of university teaching experience, combined with a prolific record of academic publications and presentations, uniquely positions them to lead the way. The book, through an interdisciplinary lens, addresses the intricate challenges of our times, offering innovative solutions to reshape organizations and promote inclusivity. Covering topics such as workplace intersectionality, technology's impact on equity, and organizational behavior dynamics, this comprehensive resource directly addresses scholars at the forefront of shaping our future. By dissecting problems and providing evidence-based solutions, the book empowers readers to contribute significantly to the ongoing dialogue on inclusion, equity, and organizational development, making it a guiding light as the call for change reverberates across industries.
Author: Saad Motahhir
Publisher: Springer Nature
ISBN: 3031686756
Category :
Languages : en
Pages : 549
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Book Description
Author: David Riano
Publisher: Springer Science & Business Media
ISBN: 3642032621
Category : Computers
Languages : en
Pages : 176
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Book Description
The intersection between knowledge management, computer science, and health care de?nes a technological area of great interest that has not been operated properly. Within this area medical procedures on preventive, diagnostic, the- peutic, or prognostic tasks in health careplay an outstanding role. The mana- ment of this type of knowledge at the point of care includes four technological scopes, at least. The ?rst one establishes the languages and structures to r- resent health care procedural knowledge and the integration of these structures with medical information systems. The second consists of the development of - gorithms and computer science technologies for the operation of this knowledge. The third scope is concerned with the development of methodologies to m- imize the bene?t of these algorithms and methodologies. The fourth concerns the integration of the previous algorithms, technologies, and methodologies in computer science systems that allow the application of this knowledge at the point of need, harnessing health care of greater quality and e?ciency.
