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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
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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: 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: Alex A.T. Bui
Publisher: Springer Science & Business Media
ISBN: 1441903852
Category : Technology & Engineering
Languages : en
Pages : 454
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Book Description
Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
Author: Viktoria Stray
Publisher: Springer Nature
ISBN: 303049392X
Category : Computers
Languages : en
Pages : 254
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Book Description
This open access book constitutes the proceedings of the 21st International Conference on Agile Software Development, XP 2020, which was planned to be held during June 8-12, 2020, at the IT University of Copenhagen, Denmark. However, due to the COVID-19 pandemic the conference was postponed until an undetermined date. XP is the premier agile software development conference combining research and practice. It is a hybrid forum where agile researchers, academics, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. Following this history, for both researchers and seasoned practitioners XP 2020 provided an informal environment to network, share, and discover trends in Agile for the next 20 years. The 14 full and 2 short papers presented in this volume were carefully reviewed and selected from 37 submissions. They were organized in topical sections named: agile adoption; agile practices; large-scale agile; the business of agile; and agile and testing.
