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Author : Owen Miller
Publisher :
Page : 0 pages
File Size : 32,32 MB
Release : 2024
Category :
ISBN : 9783384190581
Author : Eta S. Berner
Publisher : Springer
Page : 319 pages
File Size : 49,80 MB
Release : 2016-07-26
Category : Medical
ISBN : 3319319132
Building on the success of the previous editions, this fully updated book once again brings together worldwide experts to illustrate the underlying science and day-to-day use of decision support systems in clinical and educational settings. Topics discussed include: -Mathematical Foundations of Decision Support Systems -Design and Implementation Issues -Ethical and Legal Issues in Decision Support -Clinical Trials of Information Interventions -Hospital-Based Decision Support -Real World Case Studies
Author : Adam Bohr
Publisher : Academic Press
Page : 385 pages
File Size : 16,26 MB
Release : 2020-06-21
Category : Computers
ISBN : 0128184396
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 : Michael Mahler
Publisher : Academic Press
Page : 300 pages
File Size : 34,61 MB
Release : 2021-03-12
Category : Science
ISBN : 032385432X
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Author : Rajeev Bali
Publisher : Springer Science & Business Media
Page : 298 pages
File Size : 36,79 MB
Release : 2010-05-30
Category : Medical
ISBN : 0387490094
This unique text is a practical guide to managing and developing Healthcare Knowledge Management (KM) that is underpinned by theory and research. It provides readers with an understanding of approaches to the critical nature and use of knowledge by investigating healthcare-based KM systems. Designed to demystify the KM process and demonstrate its applicability, this text offers contemporary and clinically-relevant lessons for future organizational implementations.
Author : Katherine Marconi
Publisher : CRC Press
Page : 374 pages
File Size : 20,37 MB
Release : 2014-12-20
Category : Business & Economics
ISBN : 1482229250
This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.
Author : Hassan, Ahdi
Publisher : IGI Global
Page : 471 pages
File Size : 34,77 MB
Release : 2024-05-17
Category : Medical
ISBN :
In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.
Author : David Riaño
Publisher : Springer
Page : 431 pages
File Size : 11,78 MB
Release : 2019-06-19
Category : Computers
ISBN : 303021642X
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Author : Gina Colarelli O'Connor
Publisher : Stanford University Press
Page : 448 pages
File Size : 13,44 MB
Release : 2018-01-09
Category : Business & Economics
ISBN : 1503604500
Large, mature companies often struggle when it comes to the uncertain process of breakthrough innovation. But innovation is an imperative in today's cutthroat business environment. To fulfill its potential, there has to be a better way—and there is. Beyond the Champion argues that innovation is a talent all its own that requires distinct skills and expertise, just like finance or marketing. Viewing innovation as a discipline in its own right, it is easy to see that breakthrough wins require an organizational design with clearly delineated roles, responsibilities, and career tracks for those who shoulder the responsibility for new products. Drawing on the results of a four-year study and two decades of related research, this book outlines three fundamental competencies necessary for innovation: discovery, incubation, and acceleration. Mapping these skills onto roles and opportunities for advancement, the authors deliver a pioneering blueprint for sustainable innovation.
Author : Ann Thanaraj
Publisher : Taylor & Francis
Page : 169 pages
File Size : 50,59 MB
Release : 2022-10-14
Category : Education
ISBN : 1000762750
Teaching Legal Education in the Digital Age explores how legal pedagogy and curriculum design should be modernised to ensure that law students have a realistic view of the future of the legal profession. Using future readiness and digital empowerment as central themes, chapters discuss the use of technology to enhance the design and delivery of the curriculum and argue the need for the curriculum to be developed to prepare students for the use of technology in the workplace. The volume draws together a range of contributions to consider the impact of digital pedagogies in legal education and propose how technology can be used in the law curriculum to enhance student learning in law schools and lead excellence in teaching. Throughout, the authors consider what it means to be future-ready and what we can do as law academics to facilitate the knowledge, skills and dispositions needed by future-ready graduates. Part of Routledge’s series on Legal Pedagogy, this book will be of great interest to academics, post-graduate students, teachers and researchers of law, as well as those with a wider interest in legal pedagogy or legal practice.