Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr,Kaveh Memarzadeh
Publsiher: Academic Press
Total Pages: 378
Release: 2020-06-21
ISBN 10: 0128184396
ISBN 13: 9780128184394
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare Book Review:

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

Artificial Intelligence
Author: Sandeep Reddy
Publsiher: CRC Press
Total Pages: 336
Release: 2020-12-02
ISBN 10: 1000216845
ISBN 13: 9781000216844
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

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.

Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
Author: Arjun Panesar
Publsiher: Apress
Total Pages: 368
Release: 2019-02-04
ISBN 10: 1484237994
ISBN 13: 9781484237991
Language: EN, FR, DE, ES & NL

Machine Learning and AI for Healthcare Book Review:

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.

AI in Health

AI in Health
Author: Tom Lawry
Publsiher: CRC Press
Total Pages: 202
Release: 2020-02-25
ISBN 10: 1000036324
ISBN 13: 9781000036329
Language: EN, FR, DE, ES & NL

AI in Health Book Review:

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.

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
Author: Debmalya Barh
Publsiher: Academic Press
Total Pages: 544
Release: 2020-03-04
ISBN 10: 0128173386
ISBN 13: 9780128173381
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Precision Health Book Review:

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Healthcare and Artificial Intelligence

Healthcare and Artificial Intelligence
Author: Bernard Nordlinger,Cédric Villani,Daniela Rus
Publsiher: Springer Nature
Total Pages: 279
Release: 2020-03-17
ISBN 10: 3030321614
ISBN 13: 9783030321611
Language: EN, FR, DE, ES & NL

Healthcare and Artificial Intelligence Book Review:

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.

Machine Learning with Health Care Perspective

Machine Learning with Health Care Perspective
Author: Vishal Jain,Jyotir Moy Chatterjee
Publsiher: Springer Nature
Total Pages: 415
Release: 2020-03-09
ISBN 10: 3030408507
ISBN 13: 9783030408503
Language: EN, FR, DE, ES & NL

Machine Learning with Health Care Perspective Book Review:

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.

Deep Medicine

Deep Medicine
Author: Eric Topol
Publsiher: Basic Books
Total Pages: 400
Release: 2019-03-12
ISBN 10: 1541644646
ISBN 13: 9781541644649
Language: EN, FR, DE, ES & NL

Deep Medicine Book Review:

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.

Machine Learning for Healthcare

Machine Learning for Healthcare
Author: Rashmi Agrawal,Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Dac-Nhuong Le
Publsiher: CRC Press
Total Pages: 204
Release: 2020-12-09
ISBN 10: 1000221881
ISBN 13: 9781000221886
Language: EN, FR, DE, ES & NL

Machine Learning for Healthcare Book Review:

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the long-standing challenges in healthcare informatics and provides rational explanations of how to deal with them. Machine Learning for Healthcare: Handling and Managing Data provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of machine learning applications. These are illustrated in a case study which examines how chronic disease is being redefined through patient-led data learning and the Internet of Things. This text offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare. Readers will discover the ethical implications of machine learning in healthcare and the future of machine learning in population and patient health optimization. This book can also help assist in the creation of a machine learning model, performance evaluation, and the operationalization of its outcomes within organizations. It may appeal to computer science/information technology professionals and researchers working in the area of machine learning, and is especially applicable to the healthcare sector. The features of this book include: A unique and complete focus on applications of machine learning in the healthcare sector. An examination of how data analysis can be done using healthcare data and bioinformatics. An investigation of how healthcare companies can leverage the tapestry of big data to discover new business values. An exploration of the concepts of machine learning, along with recent research developments in healthcare sectors.

eHealth

eHealth
Author: Thomas F. Heston
Publsiher: BoD – Books on Demand
Total Pages: 184
Release: 2018-08-01
ISBN 10: 1789235227
ISBN 13: 9781789235227
Language: EN, FR, DE, ES & NL

eHealth Book Review:

eHealth has revolutionized health care and the practice of medicine. Internet technologies have given the most rural communities access to healthcare services, and automated computer algorithms are improving medical diagnoses and speeding up the delivery of care. Handheld apps, wearable devices, and artificial intelligence lead the way, creating a global healthcare solution that is smarter and more accessible. Read what leaders in the field are doing to advance the use of electronic technology to improve global health.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Parag Mahajan
Publsiher: Unknown
Total Pages: 329
Release: 2021-03-04
ISBN 10: 9781954612068
ISBN 13: 1954612060
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare Book Review:

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 in Medicine

Artificial Intelligence in Medicine
Author: Lei Xing,Maryellen L. Giger,James K Min
Publsiher: Academic Press
Total Pages: 568
Release: 2020-09-16
ISBN 10: 0128212586
ISBN 13: 9780128212585
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Medicine Book Review:

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Machine Learning in Healthcare Informatics

Machine Learning in Healthcare Informatics
Author: Sumeet Dua,U. Rajendra Acharya,Prerna Dua
Publsiher: Springer Science & Business Media
Total Pages: 332
Release: 2013-12-09
ISBN 10: 3642400175
ISBN 13: 9783642400179
Language: EN, FR, DE, ES & NL

Machine Learning in Healthcare Informatics Book Review:

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.

Artificial Intelligence in Health

Artificial Intelligence in Health
Author: Fernando Koch,Andrew Koster,David Riaño,Sara Montagna,Michael Schumacher,Annette ten Teije,Christian Guttmann,Manfred Reichert,Isabelle Bichindaritz,Pau Herrero,Richard Lenz,Beatriz López,Cindy Marling,Clare Martin,Stefania Montani,Nirmalie Wiratunga
Publsiher: Springer
Total Pages: 245
Release: 2019-02-20
ISBN 10: 3030127389
ISBN 13: 9783030127381
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Health Book Review:

This book constitutes the refereed post-conference proceedings of the First International Workshop on Artificial Intelligence in Health, AIH 2018, in Stockholm, Sweden, in July 2018. This workshop consolidated the workshops CARE, KRH4C and AI4HC into a single event. The 18 revised full papers included in this volume were carefully selected from the 26 papers accepted for presentation out of 42 initial submissions. The papers present AI technologies with medical applications and are organized in three tracks: agents in healthcare; data science and decision systems in medicine; and knowledge management in healthcare.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Parag Suresh Mahajan MD
Publsiher: Parag Suresh Mahajan
Total Pages: 230
Release: 2018-07
ISBN 10: 9789353516833
ISBN 13: 9353516838
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Healthcare Book Review:

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.

Data Pulse

Data Pulse
Author: Matthew Marcetich
Publsiher: Unknown
Total Pages: 274
Release: 2020-04-06
ISBN 10: 9781641375382
ISBN 13: 1641375388
Language: EN, FR, DE, ES & NL

Data Pulse Book Review:

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.

Artificial Intelligence in Behavioral and Mental Health Care

Artificial Intelligence in Behavioral and Mental Health Care
Author: David D. Luxton
Publsiher: Academic Press
Total Pages: 308
Release: 2015-09-10
ISBN 10: 0128007923
ISBN 13: 9780128007921
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Behavioral and Mental Health Care Book Review:

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

Machine Intelligence for Healthcare

Machine Intelligence for Healthcare
Author: Francis X. Campion,Gunnar Carlsson,Francis , FACP
Publsiher: Unknown
Total Pages: 346
Release: 2017-02-02
ISBN 10: 9781542924948
ISBN 13: 1542924944
Language: EN, FR, DE, ES & NL

Machine Intelligence for Healthcare Book Review:

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.

Advancement of Artificial Intelligence in Healthcare Engineering

Advancement of Artificial Intelligence in Healthcare Engineering
Author: Dilip Singh Sisodia,Ram Bilas Pachori,Lalit Garg
Publsiher: Medical Information Science Reference
Total Pages: 300
Release: 2020
ISBN 10: 9781799821205
ISBN 13: 179982120X
Language: EN, FR, DE, ES & NL

Advancement of Artificial Intelligence in Healthcare Engineering Book Review:

"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"--

Intelligence Based Medicine

Intelligence Based Medicine
Author: Anthony C. Chang
Publsiher: Academic Press
Total Pages: 534
Release: 2020-06-27
ISBN 10: 0128233389
ISBN 13: 9780128233382
Language: EN, FR, DE, ES & NL

Intelligence Based Medicine Book Review:

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare