Advances in Artificial Systems for Medicine and Education IV
Advances in Artificial Systems for Medicine and Education IV

Author: Zhengbing Hu

Publisher: Springer Nature

Published: 2021-01-29

Total Pages: 414

ISBN-13: 303067133X

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This book covers the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fourth International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2020), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, in 3–4 October 2020. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that is relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications. Intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Advances in Artificial Systems for Medicine and Education II
Advances in Artificial Systems for Medicine and Education II

Author: Zhengbing Hu

Publisher: Springer

Published: 2019-05-16

Total Pages: 766

ISBN-13: 3030120821

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This book includes the proceedings of the Second International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, on 6–8 October 2018. The conference covered advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. The papers presented in the book discuss topics in mathematics and biomathematics; medical approaches; and technological and educational approaches. Given the rapid development of artificial intelligence systems, the book highlights the need for more intensive training for a growing number of specialists, particularly in medical engineering, to increase the effectiveness of medical diagnosis and treatment. The book is intended for specialists, students and other readers who would like to know where artificial intelligence systems can beneficially be applied in the future.

Cognitive Informatics
Cognitive Informatics

Author: Kai Zheng

Publisher: Springer

Published: 2019-07-25

Total Pages: 321

ISBN-13: 3030169162

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This timely book addresses gaps in the understanding of how health information technology (IT) impacts on clinical workflows and how the effective implementation of these workflows are central to the safe and effective delivery of care to patients. It features clearly structured chapters covering a range of topics, including aspects of clinical workflows relevant to both practitioners and patients, tools for recording clinical workflow data techniques for potentially redesigning health IT enabled care coordination. Cognitive Informatics: Reengineering Clinical Workflow for More Efficient and Safer Care enables readers to develop a deeper understanding of clinical workflows and how these can potentially be modified to facilitate greater efficiency and safety in care provision, providing a valuable resource for both biomedical and health informatics professionals and trainees.

Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare

Author: Adam Bohr

Publisher: Academic Press

Published: 2020-06-21

Total Pages: 385

ISBN-13: 0128184396

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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

Human Interaction, Emerging Technologies and Future Applications IV
Human Interaction, Emerging Technologies and Future Applications IV

Author: Tareq Ahram

Publisher: Springer Nature

Published: 2021-04-15

Total Pages: 709

ISBN-13: 3030740099

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This book reports on research and developments in human-technology interaction. A special emphasis is given to human-computer interaction, and its implementation for a wide range of purposes such as healthcare, manufacturing, transportation, and education, among others. The human aspects are analyzed in detail. Innovative studies related to human-centered design, wearable technologies, augmented, virtual and mixed reality simulation, as well as developments and applications of machine learning and AI for different purposes, represent the core of the book. Emerging issues in business, security, and infrastructure are also critically examined, thus offering a timely, scientifically-grounded, but also professionally-oriented snapshot of the current state of the field. The book is based on contributions presented at the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2021, held on April 28-30, 2021, in Strasbourg, France. It offers a timely survey and a practice-oriented reference guide to researchers and professionals dealing with design and/or management of the new generation of service systems.

Cognitive Informatics for Biomedicine
Cognitive Informatics for Biomedicine

Author: Vimla L. Patel

Publisher: Springer

Published: 2015-08-10

Total Pages: 344

ISBN-13: 3319172727

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The book reports on the current state on HCI in biomedicine and health care, focusing on the role of human factors, patient safety well as methodological underpinnings of HCI theories and its application for biomedical informatics. Theories, models and frameworks for human-computer interaction (HCI) have been recognized as key contributors for the design, development and use of computer-based systems. In the clinical domain, key themes that litter the research landscape of health information technology (HIT) are usability, decision support and clinical workflow – all of which are affected directly or indirectly by the nature of HCI. While the implications of HCI principles for the design of HIT are acknowledged, the adoption of the tools and techniques among clinicians, informatics researchers and developers of HIT are limited. There is a general consensus that HIT has not realized its potential as a tool to facilitate clinical decision-making, the coordination of care and improves patient safety. Embracing sound principles of iterative design can yield significant dividends. It can also enhance practitioner’s abilities to meet “meaningful use” requirements. The purpose of the book is two-fold: to address key gaps on the applicability of theories, models and evaluation frameworks of HCI and human factors for research in biomedical informatics. It highlights the state of the art, drawing from the current research in HCI. Second, it also serves as a graduate level textbook highlighting key topics in HCI relevant for biomedical informatics, computer science and social science students working in the healthcare domain. For instructional purposes, the book provides additional information and a set of questions for interactive class discussion for each section. The purpose of these questions is to encourage students to apply the learned concepts to real world healthcare problems.​

Emerging Technologies for Health and Medicine
Emerging Technologies for Health and Medicine

Author: Dac-Nhuong Le

Publisher: John Wiley & Sons

Published: 2018-10-02

Total Pages: 352

ISBN-13: 1119509882

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Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care. With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing. This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices. The groundbreaking book presents state-of-the-art chapters on many subjects including: A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications A review of current augmenting dental care An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies A review of telemedicine technologies Building empathy in young children using augmented reality AI technologies for mobile health of stroke monitoring & rehabilitation robotics control Mobile doctor brain AI App An artificial intelligence mobile cloud computing tool Development of a robotic teaching aid for disabled children Training system design of lower limb rehabilitation robot based on virtual reality

Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies
Digital Economy and the New Labor Market: Jobs, Competences and Innovative HR Technologies

Author: Svetlana Igorevna Ashmarina

Publisher: Springer Nature

Published: 2020

Total Pages: 797

ISBN-13: 303060926X

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This proceedings book contains papers presented at the XI International Online Forum named after A.Ya. Kibanov "Innovative Personnel Management,", which took place in Moscow, Russian Federation, 15th April-5th May 2020. Organized by Moscow State University of Management, the Forum chiefly focused on HR management issues under conditions of active penetration of IT into the management and economic sphere. The authors of contributions included in this book examine both the theoretical basis for the development of the labor landscape in our digital future, and specific practical issues related to the real business practice. The book includes results of multidisciplinary studies on the following issues: employment and the labor market: a future perspective; current trends of HR management development in digital conditions; IT for creating healthy work conditions; digital transformation and new architecture of the labor market; innovative, strategic HR management and HR analytics; leadership, etc. The book consists of six parts corresponding to thematic areas of the Forum. The first part deals with the transformation of the labor market under the influence of digitalization and international economic relations. The second part is devoted to the analysis of the current changes in the HR management caused by digitalization, as well as issues of creating a healthy work environment and managing well-being with information technology. New architecture of the labor market is considered in the third part of the book in the face of the global uncertainty and the application of digital technology in entrepreneurial activities. The fourth part investigates innovative approaches to the personnel development: from resource management to capacity management. The fifth part presents strategic HR management and HR analytics in the context of current macro-calls. And finally, the sixth part is aimed at considering leadership aspects and relations between investments in the human capital and needed business results. This book is a combination of different scientific opinions and research works of scholars from different countries and regions, offering us a colorful picture of the future labor landscape: jobs, competences and skills that will be in demand.

Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)
Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)

Author: Daniel Graupe

Publisher: World Scientific

Published: 2019-03-15

Total Pages: 439

ISBN-13: 9811201242

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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.