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Author: Mark Sendak
Publisher: Frontiers Media SA
ISBN: 2832525806
Category : Medical
Languages : en
Pages : 114
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Book Description
Author: Mark Sendak
Publisher: Frontiers Media SA
ISBN: 2832525806
Category : Medical
Languages : en
Pages : 114
Get Book Here
Book Description
Author: Mohammad Amir Khusru Akhtar
Publisher: Springer Nature
ISBN: 3031664892
Category :
Languages : en
Pages : 381
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Book Description
Author: Siva Sathyanarayana Movva
Publisher: Cari Journals USA LLC
ISBN: 9914978592
Category : Technology & Engineering
Languages : en
Pages : 131
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Book Description
TOPICS IN THE BOOK Development of Digital Twins for Urban Water Systems AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights Global Positioning System Signal Verification through Correlation Function Distortion and Received Power Tracking Risk Management in Agile Al/Ml Projects: Identifying and Mitigating Data and Model Risks Addressing Challenges in Test Automation Adoption: A Study on Strategies for Overcoming Barriers to Seamless QA Integration
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: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Author: Milad Aslaner
Publisher: Packt Publishing Ltd
ISBN: 1803247355
Category : Computers
Languages : en
Pages : 252
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Book Description
Elevate your organization's cybersecurity posture by implementing proven strategies and best practices to stay ahead of emerging threats Key Features Benefit from a holistic approach and gain practical guidance to align security strategies with your business goals Derive actionable insights from real-world scenarios and case studies Demystify vendor claims and make informed decisions about cybersecurity solutions tailored to your needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf you are a cybersecurity professional looking for practical and actionable guidance to strengthen your organization’s security, then this is the book for you. Cybersecurity Strategies and Best Practices is a comprehensive guide that offers pragmatic insights through real-world case studies. Written by a cybersecurity expert with extensive experience in advising global organizations, this guide will help you align security measures with business objectives while tackling the ever-changing threat landscape. You’ll understand the motives and methods of cyber adversaries and learn how to navigate the complexities of implementing defense measures. As you progress, you’ll delve into carefully selected real-life examples that can be applied in a multitude of security scenarios. You’ll also learn how to cut through the noise and make informed decisions when it comes to cybersecurity solutions by carefully assessing vendor claims and technology offerings. Highlighting the importance of a comprehensive approach, this book bridges the gap between technical solutions and business strategies to help you foster a secure organizational environment. By the end, you’ll have the knowledge and tools necessary to improve your organization's cybersecurity posture and navigate the rapidly changing threat landscape.What you will learn Adapt to the evolving threat landscape by staying up to date with emerging trends Identify and assess vulnerabilities and weaknesses within your organization's enterprise network and cloud environment Discover metrics to measure the effectiveness of security controls Explore key elements of a successful cybersecurity strategy, including risk management, digital forensics, incident response, and security awareness programs Get acquainted with various threat intelligence sharing platforms and frameworks Who this book is for This book is for security professionals and decision makers tasked with evaluating and selecting cybersecurity solutions to protect their organization from evolving threats. While a foundational understanding of cybersecurity is beneficial, it’s not a prerequisite.
Author: Nathan Brown
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
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Book Description
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Author: Samuel A. Fricker
Publisher: Springer
ISBN: 3319097989
Category : Technology & Engineering
Languages : en
Pages : 209
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Book Description
Healthcare and well-being have captured the attention of established software companies, start-ups, and investors. Software is starting to play a central role for addressing the problems of the aging society and the escalating cost of healthcare services. Enablers of such digital health are a growing number of sensors for sensing the human body and communication infrastructure for remote meetings, data sharing, and messaging. The challenge that lies in front of us is how to effectively make use of these capabilities, for example to empower patients and to free the scarce resources of medical personnel. Requirements engineering is the process by which the capabilities of a software product are aligned with stakeholder needs and a shared understanding between the stakeholders and development team established. This book provides guide for what to look for and do when inquiring and specifying software that targets healthcare and well-being, helping readers avoid the pitfalls of the highly regulated and sensible healthcare domain are and how they can be overcome. This book brings together the knowledge of 22 researchers, engineers, lawyers, and CEOs that have experience in the development of digital health solutions. It represents a unique line-up of best practices and recommendations of how to engineer requirements for digital health. In particular the book presents: · The area of digital health, e-health, and m-health · Best practice for requirements engineering based on evidence from a large number of projects · Practical step-by-step guidelines, examples, and lessons-learned for working with laws, regulations, ethical issues, interoperability, user experience, security, and privacy · How to put these many concerns together for engineering the requirements of a digital health solution and for scaling a digital health product For anybody who intends to develop software for digital health, this book is an introduction and reference with a wealth of actionable insights. For students interested in understanding how to apply software to healthcare, the text introduces key topics and guides further studies with references to important literature.
Author: Ronny S. Mans
Publisher: Springer
ISBN: 3319160710
Category : Computers
Languages : en
Pages : 99
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Book Description
What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Author: Miao, Fengchun
Publisher: UNESCO Publishing
ISBN: 9231004476
Category : Political Science
Languages : en
Pages : 50
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Book Description
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
