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Healthcare Informatics Innovation Post
COVID-19 Pandemic

Healthcare Informatics Innovation Post COVID-19 Pandemic

1. Healthcare Informatics Innovation Post-COVID-19: Lessons, Challenges, and Opportunities 2. Lessons Learned: COVID-19 and the Future of Healthcare Informatics 3. Telehealth Revolution: Bridging the Digital Divide 4. Artificial Intelligence in Post-Pandemic Healthcare 5. Navigating Post-Pandemic Mental Health Challenges: Unleashing the Potential of Artificial Intelligence 6. Leveraging Digital Health Technologies in Healthcare Teams: A Discussion of Policy and Practice in Canada 7. How Data-Driven Insights Can Improve Patient Outcomes, Public Health Strategies, and Decision-Making 8. Genomics and Personalized Medicine: An Insight from The Healthcare Perspective 9. Preferences and Selection of Vaccines by Health Consumers 10. Innovation Management Practices in Kazakhstan's Healthcare Sector 11. Advancing Healthcare Informatics in Fluorescence Microscopy Using Computational Imaging Techniques 12. Global Healthcare Informatics - Structural Considerations and Workforce Training Challenges and Solutions 13. Ethics, Privacy, and Security in Healthcare Informatics 14. Cybersecurity Challenges in Healthcare Informatics 15. Impact of Cybersecurity and Artificial Intelligence in Healthcare Operations 16. Healthcare Cyberattacks Over the 2014-2023 Period: Trends, Lessons Learned, and Potential Paths Forward 17. Intelligent Transportation System for Healthcare Improvement 18. COVID-19: Predicting Daily Caseload and Mortality during Multiple Waves of the Epidemic in Different Countries

Chapman & Hall/CRC Biostatistics Series

Age-Period-Cohort Models

Shaping the Future of Cities

AI-Driven Urban Planning

To write effective code and applications, software engineers and developers have to be able to frame user/customer needs effectively, capture program requirements and use cases, and then develop suitable software architecture and code to meet the need. Code Chronicles: The Art of Storytelling in Software helps readers write better software by teaching readers how to write stories in the context of software development. The book explains the roots of storytelling, clarifies that storytelling historically has been a very powerful tool used to pass along knowledge, presents where storytelling is already present implicitly in software development, discusses how to make it more effective, and finally present experiences in storytelling from software engineering and other scientific disciplines, to foster a full understanding of its power. The authors comprehensively present the pivotal role of storytelling in writing software, and they explain how to do it in a simple, hands-on approach, also taking advantage of clear case studies written by experts in the field.

The Art of Storytelling in Software

Code Chronicles

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual’s capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI Art, Machine Learning and the Stakes for Art Criticism

This open access book presents the results of the project “SysML Workbench for the SPES Methodology” (SpesML), funded by the German Ministry of Education and Research. SpesML is a modeling language that supports the proven SPES methodology by a carefully selected subset of SysML language elements together with a precise semantic interpretation enabling advanced analyses.The book begins with an introduction to the SpesML project in Chapter 1 and the SPES modeling language (SpesML) in Chapter 2. Next, Chapter 3 discusses the introduction of Model-based Systems Engineering (MBSE) in industry and details the challenges faced by industrial practitioners. It also introduces a running example used throughout the book to demonstrate the application and tool implementation of SpesML. Chapter 4 introduces the SPES methodology. Starting with the fundamental principles applied in SPES, it briefly describes the underlying modeling theory and the&nbsp;Universal Interface Model&nbsp;(UIM)concept. Chapter 5 details the subset of language elements of SysML used in SpesML and introduces the concept of expressions as an extension of SysML for formal behavior descriptions. Chapter 6 continues with the realization of the core building blocks in SPES (UIM, viewpoints, granularity layers) through SpesML language elements. Chapter 7 then describes the implementation of a SpesML plugin on top of MagicDraw. Eventually, Chapter 8 introduces three industry case studies, and Chapter 9 concludes with a summary and an outlook.This open access book is written for both researchers in model-based systems engineering and for industry professionals exploiting model-based approaches for systems development. It adds to the development of the SPES methodology described in the three books “Model-Based Engineering of Embedded Systems”, “Advanced Model-Based Engineering of Embedded Systems”, and “Model-Based Engineering of Collaborative Embedded Systems”.

This open access book presents the results of the project “SysML Workbench for the SPES Methodology” (SpesML), funded by the German Ministry of Education and Research. SpesML is a modeling language that supports the proven SPES methodology by a carefully selected subset of SysML language elements together with a precise semantic interpretation enabling advanced analyses.The book begins with an introduction to the SpesML project in Chapter 1 and the SPES modeling language (SpesML) in Chapter 2. Next, Chapter 3 discusses the introduction of Model-based Systems Engineering (MBSE) in industry and details the challenges faced by industrial practitioners. It also introduces a running example used throughout the book to demonstrate the application and tool implementation of SpesML. Chapter 4 introduces the SPES methodology. Starting with the fundamental principles applied in SPES, it briefly describes the underlying modeling theory and the Universal Interface Model (UIM)concept. Chapter 5 details the subset of language elements of SysML used in SpesML and introduces the concept of expressions as an extension of SysML for formal behavior descriptions. Chapter 6 continues with the realization of the core building blocks in SPES (UIM, viewpoints, granularity layers) through SpesML language elements. Chapter 7 then describes the implementation of a SpesML plugin on top of MagicDraw. Eventually, Chapter 8 introduces three industry case studies, and Chapter 9 concludes with a summary and an outlook. This open access book is written for both researchers in model-based systems engineering and for industry professionals exploiting model-based approaches for systems development. It adds to the development of the SPES methodology described in the three books “Model-Based Engineering of Embedded Systems”, “Advanced Model-Based Engineering of Embedded Systems”, and “Model-Based Engineering of Collaborative Embedded Systems”.

A SysML Workbench for the SPES Methodology

Model-Based Systems Engineering with the SPES Modeling Language

Inside Rugby's Tactical and Data Revolution

Attacking the Space

Navigating Industry 4.0 and Anticipating Industry 5.0

Decoding Explainable AI

Skin, Sensing, and Structures

Humanizing Artificial Touch

A story of unexpected love at the end of the world

Some Body Like Me

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

Medical Robots and Devices: New Developments and Advances

Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing, computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

Medical Imaging Application in Health Assessment and Disease Management

Autonomous Cyber Resilience

Healthcare Informatics Innovation Post COVID-19 Pandemic

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

Bibliografische Angaben

Inhaltsverzeichnis

Schlagworte

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