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Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone

by Parag Mahajan

  • Publisher : Unknown Publisher
  • Release : 2021-03-04
  • Pages : 329
  • ISBN : 9781954612068
  • Language : En, Es, Fr & De
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About the book:? Do you know what AI is doing to improve our health and wellbeing?? Does this new technology concern you, or impress you?? Do you want to know more about the future of AI in healthcare?Technology continues to advance at a pace that can seem bewildering. Nowhere else is it moving faster than in the health sector, where ?AI is now being used to improve millions of lives?.In this book, ? Artificial Intelligence in Healthcare: AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone ?, you can discover the great improvements that AI is making, with chapters covering:? The current applications and future of AI in healthcare and all major medical specialties? The benefits and risks weighed up? The ethics involved? Machine learning and data science simplified? AI's role in medical research and education, health insurance, drug discovery, electronic health records, and the fight against COVID-19? The roles that major corporations and start-up companies are playing? The implementation of AI in clinical practice? And lots more?Quite simply the most authoritative text on the subject, Artificial Intelligence in Healthcare - 3rd Edition, is an absorbing and compelling read for anyone who wants to know more. It is packed with more updated information than any other book currently available, written in easy-to-understand language, and accessible to all.

Artificial Intelligence

Artificial Intelligence
Applications in Healthcare Delivery

by Sandeep Reddy

  • Publisher : CRC Press
  • Release : 2020-12-02
  • Pages : 336
  • ISBN : 1000216845
  • Language : En, Es, Fr & De
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The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
A Book

by Adam Bohr,Kaveh Memarzadeh

  • Publisher : Academic Press
  • Release : 2020-06-21
  • Pages : 378
  • ISBN : 0128184396
  • Language : En, Es, Fr & De
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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

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
A Book

by Parag Suresh Mahajan MD

  • Publisher : Parag Suresh Mahajan
  • Release : 2018-07
  • Pages : 230
  • ISBN : 9789353516833
  • Language : En, Es, Fr & De
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About the book - Artificial Intelligence in Healthcare Do you want to know the relationship between Artificial Intelligence (AI) & healthcare, & how AI is improving healthcare? Technology is evolving rapidly, & you need to keep up to stay at the top. Artificial Intelligence (AI) is revolutionizing all aspects of healthcare & this book is intended to be your companion on this journey. It's a power-packed AI book that guides you about the current state and future applications of AI in healthcare, including those under development, in a simple to understand language. It discusses the ethical concerns related to the use of AI in healthcare, principles of AI & how it works, the vital role of AI in all major medical specialties and health insurance, & the role of start-ups and corporate players in AI in healthcare. About the Author - Dr Parag Suresh Mahajan MD Dr. Parag Mahajan is an Accomplished Entrepreneurial CEO of multiple Healthcare Start-ups, Radiologist, Clinical Informatician, Teacher, Researcher, and Author. His current interests include the development of Start-ups in the fields of Artificial Intelligence in Healthcare, Blockchain in Healthcare, Electronic Health Records, and Medical eLearning Systems.

Advancement of Artificial Intelligence in Healthcare Engineering

Advancement of Artificial Intelligence in Healthcare Engineering
A Book

by Dilip Singh Sisodia,Ram Bilas Pachori,Lalit Garg

  • Publisher : Medical Information Science Reference
  • Release : 2020
  • Pages : 300
  • ISBN : 9781799821205
  • Language : En, Es, Fr & De
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"This book explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of challenging healthcare engineering solutions"--

Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
Big Data for Improved Health Outcomes

by Arjun Panesar

  • Publisher : Apress
  • Release : 2019-02-04
  • Pages : 368
  • ISBN : 1484237994
  • Language : En, Es, Fr & De
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Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll Learn Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Machine Learning with Health Care Perspective

Machine Learning with Health Care Perspective
Machine Learning and Healthcare

by Vishal Jain,Jyotir Moy Chatterjee

  • Publisher : Springer Nature
  • Release : 2020-03-09
  • Pages : 415
  • ISBN : 3030408507
  • Language : En, Es, Fr & De
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This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
A Leader's Guide to Winning in the New Age of Intelligent Health Systems

by Tom Lawry

  • Publisher : Taylor & Francis
  • Release : 2020
  • Pages : 202
  • ISBN : 9780429321214
  • Language : En, Es, Fr & De
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"We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the cloud, AI is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people and ethical issues that will need to be understood and addressed in planning and executing an effective AI plan. It provides clinical and business leaders with a framework for successfully moving organizations from the aspiration to execution phase of intelligent systems to improve clinical, operational and financial performance. Written for clinical and business leaders in health, this book defines Artificial Intelligence and its role in driving digital transformation to improve clinical, operational and financial outcomes of provider, payer and public health organizations worldwide. It provides readers with an in-depth (but non-technical) look at the technology "building blocks" of AI (e.g. machine learning, cognitive services, bots) with real-world use cases cited along the way to illustrate the power of AI in healthcare settings. This book defines a practical planning framework empowering clinical, business and IT leaders to understand AI and create an organizational plan to implement intelligent solutions that increase the effectiveness of every worker in achieving the goals and objectives of health and medical organizations"--

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare
A Book

by Ankur Saxena

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811608113
  • Language : En, Es, Fr & De
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AI in Healthcare

AI in Healthcare
How Artificial Intelligence Is Changing IT Operations and Infrastructure Services

by Robert Shimonski

  • Publisher : John Wiley & Sons
  • Release : 2021-01-27
  • Pages : 288
  • ISBN : 1119680018
  • Language : En, Es, Fr & De
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The best source for cutting-edge insights into AI in healthcare operations AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations. Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions. This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including: Healthcare IT AI Clinical Operations AI Operational Infrastructure Project Planning Metrics, Reporting, and Service Performance AIOps in Automation AIOps Cloud Operations Future of AI Written in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.

Machine Learning in Healthcare Informatics

Machine Learning in Healthcare Informatics
A Book

by Sumeet Dua,U. Rajendra Acharya,Prerna Dua

  • Publisher : Springer Science & Business Media
  • Release : 2013-12-09
  • Pages : 332
  • ISBN : 3642400175
  • Language : En, Es, Fr & De
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The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Machine Learning for Healthcare Applications

Machine Learning for Healthcare Applications
A Book

by Sachi Nandan Mohanty,G. Nalinipriya,Om Prakash Jena,Achyuth Sarkar

  • Publisher : John Wiley & Sons
  • Release : 2021-04-13
  • Pages : 416
  • ISBN : 1119791812
  • Language : En, Es, Fr & De
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When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment. Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning. This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

Artificial Intelligence in Healthcare. An Analysis of the Link of AI to Health Promotion and Prevention Programs to Face and Early-detect Non-communicable Diseases

Artificial Intelligence in Healthcare. An Analysis of the Link of AI to Health Promotion and Prevention Programs to Face and Early-detect Non-communicable Diseases
A Book

by Julius Holaus

  • Publisher : Unknown Publisher
  • Release : 2019
  • Pages : 329
  • ISBN : 9783668963863
  • Language : En, Es, Fr & De
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AI in Health

AI in Health
A Leader’s Guide to Winning in the New Age of Intelligent Health Systems

by Tom Lawry

  • Publisher : CRC Press
  • Release : 2020-02-25
  • Pages : 202
  • ISBN : 1000036324
  • Language : En, Es, Fr & De
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We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.

Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience
A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians

by Louis J. Catania

  • Publisher : Academic Press
  • Release : 2020-11-25
  • Pages : 558
  • ISBN : 0323860052
  • Language : En, Es, Fr & De
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Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care. Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions Integrates a comprehensive discussion of AI applications in the business of health care Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications

Machine Intelligence for Healthcare

Machine Intelligence for Healthcare
A Book

by Francis X. Campion,Gunnar Carlsson,Francis , FACP

  • Publisher : Unknown Publisher
  • Release : 2017-02-02
  • Pages : 346
  • ISBN : 9781542924948
  • Language : En, Es, Fr & De
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Machine Intelligence for Healthcare is a must read for physician leaders, health insurance executives, clinical researchers, public health officials, data scientists and software engineers seeking to understand this pivotal innovation in the information revolution in healthcare. MI for Healthcare provides a detailed introduction of Machine Intelligence, then takes the reader on a journey through the basics of machine learning, topological data analysis and applications of machine intelligence software for healthcare and life sciences. Over 20 case studies cover topics related to clinical variation analysis, hospital clinical pathways, population health management, genetic analysis, precision medicine, healthcare revenue cycle, and payment integrity. The book includes a detailed introduction of the mathematics of topology and concepts of machine learning algorithms. This provides an understanding for the central role which machine intelligence software is now playing in the emergence of the "learning healthcare system" and success in the new world of value-based healthcare delivery.

Big Data and Artificial Intelligence for Healthcare Applications

Big Data and Artificial Intelligence for Healthcare Applications
A Book

by Ankur Saxena,Nicolas Brault,Shazia Rashid

  • Publisher : CRC Press
  • Release : 2021-06-15
  • Pages : 286
  • ISBN : 1000387313
  • Language : En, Es, Fr & De
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This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. The book covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. This book will be useful for researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers.

Data Pulse

Data Pulse
A Brief Tour of Artificial Intelligence in Healthcare

by Matthew Marcetich

  • Publisher : Unknown Publisher
  • Release : 2020-04-06
  • Pages : 274
  • ISBN : 9781641375382
  • Language : En, Es, Fr & De
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For many of us, machine learning and artificial intelligence (AI) are abstract terms that have become popularized for their roles in automation and robotics. In healthcare, uses of AI emerged several decades ago and have significantly expanded to the present day. Data Pulse presents a current snapshot of uses of AI in healthcare, including essential opportunities and challenges. The discussion explores its impact at many levels of the healthcare system, from researchers and entrepreneurs to physicians and patients. With easily understood language, Marcetich defines common terms of AI and shows us how various AI tools are influencing research, clinical, and administrative areas of healthcare. The reader will learn how current discoveries build on the decades of previous work in biology, robotics, and computer science, along with the unforeseen ethical and legal challenges they have provoked. Data Pulse is a story of important partnerships and strategies that are reshaping modern healthcare through AI. It will inform our view of the past, present, and rapidly evolving future of AI in healthcare.

AI and Machine Learning for Healthcare

AI and Machine Learning for Healthcare
An Overview of Tools and Challenges for Building a Health-tech Data Pipeline

by Aileen Nielsen

  • Publisher : Unknown Publisher
  • Release : 2017
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"Artificial intelligence (AI) and machine learning (ML) in healthcare comprise a rapidly expanding and very promising field. The marriage of technology and health has the potential to empower medical professionals and patients alike, while drastically cutting the cost of healthcare. Using a measured no-hype approach, this video will help technology entrepreneurs, product managers, and health care executives understand what can be done with AI and ML in healthcare today and what concepts are most crucial to producing valuable applications in the near future."--Resource description page.

Healthcare and Artificial Intelligence

Healthcare and Artificial Intelligence
A Book

by Bernard Nordlinger,Cédric Villani,Daniela Rus

  • Publisher : Springer Nature
  • Release : 2020-03-17
  • Pages : 279
  • ISBN : 3030321614
  • Language : En, Es, Fr & De
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This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.