Artificial Intelligence And The Future Of Healthcare

Download Artificial Intelligence And The Future Of Healthcare full books in PDF, epub, and Kindle. Read online Artificial Intelligence And The Future Of Healthcare ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Deep Medicine

Author : Eric Topol
Publisher : Basic Books
ISBN 13 : 1541644646
Total Pages : 373 pages
Book Rating : 4.5/5 (416 download)

DOWNLOAD NOW!

Book Synopsis Deep Medicine by : Eric Topol

Download or read book Deep Medicine written by Eric Topol and published by Basic Books. This book was released on 2019-03-12 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

Accelerated Path to Cures

Author : Josep Bassaganya-Riera
Publisher : Springer
ISBN 13 : 3319732382
Total Pages : 82 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Accelerated Path to Cures by : Josep Bassaganya-Riera

Download or read book Accelerated Path to Cures written by Josep Bassaganya-Riera and published by Springer. This book was released on 2018-04-25 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.

AI and Big Data’s Potential for Disruptive Innovation

Author : Strydom, Moses
Publisher : IGI Global
ISBN 13 : 1522596895
Total Pages : 405 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis AI and Big Data’s Potential for Disruptive Innovation by : Strydom, Moses

Download or read book AI and Big Data’s Potential for Disruptive Innovation written by Strydom, Moses and published by IGI Global. This book was released on 2019-09-27 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Machine Learning and AI for Healthcare

Author : Arjun Panesar
Publisher : Apress
ISBN 13 : 1484237994
Total Pages : 390 pages
Book Rating : 4.4/5 (842 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar

Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 LearnGain 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 agentsWho 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.

Artificial Intelligence and Machine Learning in Healthcare

Author : Arman Kilic
Publisher : Academic Press
ISBN 13 : 012822519X
Total Pages : 0 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning in Healthcare by : Arman Kilic

Download or read book Artificial Intelligence and Machine Learning in Healthcare written by Arman Kilic and published by Academic Press. This book was released on 2024-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation. This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare. Provides an overview of AI and ML to the medical practitioner who may not be well versed in these fields Encompasses a thorough review of what has been accomplished and demonstrated recently in the fields of AI and ML in healthcare Discusses the future of AI and ML in healthcare, with a review of possible wearable technology and software and how they may be used for medical care

Artificial Intelligence in Behavioral and Mental Health Care

Author : David D. Luxton
Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 308 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Artificial Intelligence and the Future of Healthcare

Author : Jon-Arild Johannessen
Publisher : Taylor & Francis
ISBN 13 : 1040090540
Total Pages : 136 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and the Future of Healthcare by : Jon-Arild Johannessen

Download or read book Artificial Intelligence and the Future of Healthcare written by Jon-Arild Johannessen and published by Taylor & Francis. This book was released on 2024-07-19 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Artificial Intelligence (AI) in the healthcare sector is certain to boost levels of automation and productivity but, paradoxically, it will also increase the availability of “first line competence.” At the same time as demographic trends are affecting demand for health and social care, the technological developments we are seeing make it highly likely that AI will play a decisive role in tackling the challenges our healthcare systems will encounter. This book reveals systemic connections to tackle questions about the potential impact of AI on future challenges in the healthcare sector. Specifically, it develops practical proposals for ways in which AI can be applied to solve these forthcoming issues. It emphasizes the importance of AI in what is known in the literature as human augmentation. The book’s innovative perspective is apparent in the way it challenges conventional wisdom in the context of several pressing questions, such as: • What opportunities and challenges could arise from the application of AI in the healthcare sector? • How can the philosophy of medicine, viewed from a systemic perspective, help us to understand, explain, and resolve some of the future challenges in the healthcare sector? • How could AI affect inclusive employment opportunities for people with disabilities? The book also contains an underlying argument to the effect that the rational approach adopted by economists is perhaps less rational when applied to a healthcare sector that is crying out for more “first line competence.” The primary readership will be academic, but the book will also appeal to policymakers, consultants, HR departments, healthcare stakeholders, and related practitioners.

Healthcare and Artificial Intelligence

Author : Bernard Nordlinger
Publisher : Springer Nature
ISBN 13 : 3030321614
Total Pages : 275 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Healthcare and Artificial Intelligence by : Bernard Nordlinger

Download or read book Healthcare and Artificial Intelligence written by Bernard Nordlinger and published by Springer Nature. This book was released on 2020-03-17 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Introduction to Artificial Intelligence in Healthcare

Author : Davenport, Tom
Publisher : Edward Elgar Publishing
ISBN 13 : 1800888090
Total Pages : 167 pages
Book Rating : 4.8/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Advanced Introduction to Artificial Intelligence in Healthcare by : Davenport, Tom

Download or read book Advanced Introduction to Artificial Intelligence in Healthcare written by Davenport, Tom and published by Edward Elgar Publishing. This book was released on 2022-08-05 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a comprehensive overview of the current and future uses of Artificial Intelligence in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations. Analysing AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations, it advises healthcare executives on how to effectively leverage AI to advance their strategies to support digital transformation.

The Future of Healthcare

Author : Emmanuel Fombu
Publisher : Emmanuel Fombu
ISBN 13 : 9780692122969
Total Pages : 296 pages
Book Rating : 4.1/5 (229 download)

DOWNLOAD NOW!

Book Synopsis The Future of Healthcare by : Emmanuel Fombu

Download or read book The Future of Healthcare written by Emmanuel Fombu and published by Emmanuel Fombu. This book was released on 2018-05-19 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our healthcare system is prohibitively expensive. Fortunately, artificial intelligence, big data, machine learning, blockchain, the internet of things and wearable technologies are revolutionizing the way that we look at healthcare. The future of healthcare is coming. This is what it looks like.

Artificial Intelligence in Healthcare

Author : Lalit Garg
Publisher : Springer Nature
ISBN 13 : 9811662657
Total Pages : 157 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Healthcare by : Lalit Garg

Download or read book Artificial Intelligence in Healthcare written by Lalit Garg and published by Springer Nature. This book was released on 2021-10-29 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.

AI in Healthcare

Author : Robert Shimonski
Publisher : John Wiley & Sons
ISBN 13 : 1119680018
Total Pages : 288 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis AI in Healthcare by : Robert Shimonski

Download or read book AI in Healthcare written by Robert Shimonski and published by John Wiley & Sons. This book was released on 2021-01-27 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evolving Role of AI and IoMT in the Healthcare Market

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030820793
Total Pages : 283 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Evolving Role of AI and IoMT in the Healthcare Market by : Fadi Al-Turjman

Download or read book Evolving Role of AI and IoMT in the Healthcare Market written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2022-01-06 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.

AI in Healthcare: How Artificial Intelligence Changes the Future of Medical Care

Author : Jing Xu
Publisher : Overseas Chinese Press
ISBN 13 : 9781639314423
Total Pages : 0 pages
Book Rating : 4.3/5 (144 download)

DOWNLOAD NOW!

Book Synopsis AI in Healthcare: How Artificial Intelligence Changes the Future of Medical Care by : Jing Xu

Download or read book AI in Healthcare: How Artificial Intelligence Changes the Future of Medical Care written by Jing Xu and published by Overseas Chinese Press. This book was released on 2022-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific and technological innovation is the key to high-quality development. Artificial intelligence, as the core driving force of the new round of scientific and technological revolution and industrial transformation, can play an important role in clinical diagnosis and treatment, disease prediction, health management, pharmaceutical research and development, epidemic monitoring and so on. Its application in the field of health care will promote the innovation of health technology and the transformation of medical service mode, and promote the reduction of medical cost on the supply side and the improvement of medical service efficiency. At the same time, it will help to form a homogeneous, standard and extensible medical service system, optimize the allocation of resources, guarantee the right of everyone to enjoy high-quality and high-standard homogeneous medical services on the demand side, and promote health equity and accessibility.This book focuses on the development of AI technology in the field of healthcare and provides important scientific support for further promoting the development of AI + Healthcare technology. This book combs and explores the multidisciplinary concepts and cross-application of artificial intelligence technology in intelligent medical applications, and provides clear and concise explanations, which also lists a large number of reliable information and data. It is believed that the publication of this book will help readers with relevant disciplinary backgrounds to understand, learn and explore the AI + Healthcare frontier. This book mainly includes the following contents: artificial intelligence for medical treatment, information infrastructure construction of artificial intelligence in the field of medical health, promotion and ecological construction of artificial intelligence in the field of medical health, application of artificial intelligence in the epidemic situation, and deep medical exploration of artificial intelligence.

Transforming Healthcare with Big Data and AI

Author : Mingbo Gong
Publisher : IAP
ISBN 13 : 1641138998
Total Pages : 185 pages
Book Rating : 4.6/5 (411 download)

DOWNLOAD NOW!

Book Synopsis Transforming Healthcare with Big Data and AI by : Mingbo Gong

Download or read book Transforming Healthcare with Big Data and AI written by Mingbo Gong and published by IAP. This book was released on 2020-04-01 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Data Science from Scratch

Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904402
Total Pages : 330 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Data Science from Scratch by : Joel Grus

Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases