Intelligent Systems In Healthcare And Disease Identification Using Data Science

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Intelligent Systems in Healthcare and Disease Identification using Data Science

Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu
Intelligent Systems in Healthcare and Disease Identification using Data Science Book PDF

Author : Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu
Publisher : CRC Press
Page : 274 pages
File Size : 54,8 Mb
Release : 2023-10-10
Category : Computers
ISBN : 9781000962871

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Intelligent Systems in Healthcare and Disease Identification using Data Science by Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu Pdf

The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data, the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data, computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers, health informatics professionals, academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics, its history and area of practice, laws in health informatics, challenges and technologies in health informatics, applica- tion of informatics in various sectors and so on. Finally, the research avenues in health informatics along with some case studies are discussed.

Intelligent Healthcare

Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Intelligent Healthcare Book PDF

Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Publisher : Springer Nature
Page : 323 pages
File Size : 54,9 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9783030670511

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Intelligent Healthcare by Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar Pdf

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Tracking and Preventing Diseases with Artificial Intelligence

Mayuri Mehta
Tracking and Preventing Diseases with Artificial Intelligence Book PDF

Author : Mayuri Mehta
Publisher : Springer Nature
Page : 266 pages
File Size : 41,7 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 9783030767327

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Tracking and Preventing Diseases with Artificial Intelligence by Mayuri Mehta Pdf

This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.

Big Data and Artificial Intelligence for Healthcare Applications

Ankur Saxena,Nicolas Brault,Shazia Rashid
Big Data and Artificial Intelligence for Healthcare Applications Book PDF

Author : Ankur Saxena,Nicolas Brault,Shazia Rashid
Publisher : CRC Press
Page : 286 pages
File Size : 49,7 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9781000387315

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Big Data and Artificial Intelligence for Healthcare Applications by Ankur Saxena,Nicolas Brault,Shazia Rashid Pdf

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. "Big Data and Artificial Intelligence for Healthcare Applications" 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. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Innovative Systems for Intelligent Health Informatics

Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari
Innovative Systems for Intelligent Health Informatics Book PDF

Author : Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari
Publisher : Springer Nature
Page : 1262 pages
File Size : 43,6 Mb
Release : 2021-05-05
Category : Computers
ISBN : 9783030707132

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Innovative Systems for Intelligent Health Informatics by Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari Pdf

This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.

Data Science for Healthcare

Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Data Science for Healthcare Book PDF

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 50,9 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

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Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Machine Learning with Health Care Perspective

Vishal Jain,Jyotir Moy Chatterjee
Machine Learning with Health Care Perspective Book PDF

Author : Vishal Jain,Jyotir Moy Chatterjee
Publisher : Springer Nature
Page : 418 pages
File Size : 43,5 Mb
Release : 2020-03-09
Category : Technology & Engineering
ISBN : 9783030408503

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Machine Learning with Health Care Perspective by Vishal Jain,Jyotir Moy Chatterjee Pdf

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 for the Internet of Health Things

K. Shankar,Eswaran Perumal,Deepak Gupta
Artificial Intelligence for the Internet of Health Things Book PDF

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 216 pages
File Size : 41,9 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374292

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Artificial Intelligence for the Internet of Health Things by K. Shankar,Eswaran Perumal,Deepak Gupta Pdf

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Data Science for Effective Healthcare Systems

Hari Singh,Ravindara Bhatt,Prateek Thakral,Dinesh Chander Verma
Data Science for Effective Healthcare Systems Book PDF

Author : Hari Singh,Ravindara Bhatt,Prateek Thakral,Dinesh Chander Verma
Publisher : CRC Press
Page : 275 pages
File Size : 49,8 Mb
Release : 2022-07-27
Category : Computers
ISBN : 9781000618853

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Data Science for Effective Healthcare Systems by Hari Singh,Ravindara Bhatt,Prateek Thakral,Dinesh Chander Verma Pdf

Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable. Key Features: The book offers comprehensive coverage of the most essential topics, including: Big Data Analytics, Applications & Challenges in Healthcare Descriptive, Predictive and Prescriptive Analytics in Healthcare Artificial Intelligence, Machine Learning, Deep Learning and IoT in Healthcare Data Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain Tumor The aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra
Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Book PDF

Author : Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 44,8 Mb
Release : 2022-05-20
Category : Computers
ISBN : 9781119792352

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics by Sunil Kumar Dhal,Subhendu Kumar Pani,Srinivas Prasad,Sudhir Kumar Mohapatra Pdf

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Intelligent Systems for Healthcare Management and Delivery

Bouchemal, Nardjes
Intelligent Systems for Healthcare Management and Delivery Book PDF

Author : Bouchemal, Nardjes
Publisher : IGI Global
Page : 377 pages
File Size : 55,5 Mb
Release : 2018-12-07
Category : Medical
ISBN : 9781522570721

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Intelligent Systems for Healthcare Management and Delivery by Bouchemal, Nardjes Pdf

With the growing use of new technologies and artificial intelligence (AI) applications, intelligent systems can be used to manage large amounts of existing data in healthcare domains. Having more intelligent methods for accessing data allows medical professionals to more efficiently identify the best medical practices and more concrete solutions for diagnosing and treating a multitude of rare diseases. Intelligent Systems for Healthcare Management and Delivery provides relevant and advanced methodological, technological, and scientific approaches related to the application of sophisticated exploitation of AI, as well as providing insight into the technologies and intelligent applications that have received growing attention in recent years such as medical imaging, EMR systems, and drug development assistance. This publication fosters a scientific debate for new healthcare intelligent systems and sophisticated approaches for enhanced healthcare services and is ideally designed for medical professionals, hospital staff, rehabilitation specialists, medical educators, and researchers.

Applied Smart Health Care Informatics

Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik
Applied Smart Health Care Informatics Book PDF

Author : Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik
Publisher : John Wiley & Sons
Page : 228 pages
File Size : 52,7 Mb
Release : 2022-02-23
Category : Technology & Engineering
ISBN : 9781119742982

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Applied Smart Health Care Informatics by Sourav De,Rik Das,Siddhartha Bhattacharyya,Ujjwal Maulik Pdf

Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

Digital Health Transformation with Blockchain and Artificial Intelligence

Chinmay Chakraborty
Digital Health Transformation with Blockchain and Artificial Intelligence Book PDF

Author : Chinmay Chakraborty
Publisher : CRC Press
Page : 370 pages
File Size : 50,7 Mb
Release : 2022-05-10
Category : Computers
ISBN : 9781000580945

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Digital Health Transformation with Blockchain and Artificial Intelligence by Chinmay Chakraborty Pdf

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Artificial Intelligence and Big Data Analytics for Smart Healthcare Book PDF

Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Page : 292 pages
File Size : 55,5 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare by Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui Pdf

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

AI-First Healthcare

Kerrie L. Holley,Siupo Becker M.D.
AI First Healthcare Book PDF

Author : Kerrie L. Holley,Siupo Becker M.D.
Publisher : "O'Reilly Media, Inc."
Page : 222 pages
File Size : 46,5 Mb
Release : 2021-04-19
Category : Business & Economics
ISBN : 9781492063124

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AI-First Healthcare by Kerrie L. Holley,Siupo Becker M.D. Pdf

AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application