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Title Machine Learning and AI for Healthcare
Author Arjun Panesar
Publisher Apress
Release 2019-02-04
Category Computers
Total Pages 368
ISBN 1484237994
Language English, Spanish, and French
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Book Summary:

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.

Title Artificial Intelligence in Healthcare
Author Adam Bohr
Publisher Academic Press
Release 2020-07-10
Category Computers
Total Pages 378
ISBN 0128184388
Language English, Spanish, and French
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Book Summary:

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

AI in Health by Tom Lawry

Title AI in Health
Author Tom Lawry
Publisher CRC Press
Release 2020-02-25
Category Business & Economics
Total Pages 202
ISBN 1000036324
Language English, Spanish, and French
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Book Summary:

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.

AI in Health by Tom Lawry

Title AI in Health
Author Tom Lawry
Publisher Himss Publishing
Release 2020
Category Artificial intelligence
Total Pages 203
ISBN 9780367336844
Language English, Spanish, and French
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Book Summary:

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.

Title Artificial Intelligence in Healthcare and Medicine
Author Kayvan Najarian
Publisher CRC Press
Release 2022-04-06
Category Computers
Total Pages 300
ISBN 1000565815
Language English, Spanish, and French
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Book Summary:

This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Title Handbook of Artificial Intelligence in Healthcare
Author Chee-Peng Lim
Publisher Springer
Release 2021-11-27
Category Technology & Engineering
Total Pages 422
ISBN 9783030836191
Language English, Spanish, and French
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Book Summary:

Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans..

Title Artificial Intelligence in Health
Author Fernando Koch
Publisher Springer
Release 2019-02-20
Category Computers
Total Pages 245
ISBN 3030127389
Language English, Spanish, and French
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Book Summary:

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 Health Care System by Artificial Intelligence in Health Care System

Title Artificial Intelligence in Health Care System
Author Artificial Intelligence in Health Care System
Publisher Nitya Publications
Release 2022-01-01
Category Computers
Total Pages 250
ISBN 9391669425
Language English, Spanish, and French
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Book Summary:

Artificial Intelligence in the Field of Health by Dr. Shahul Hameed Pakkir Mohamed

Title Artificial Intelligence in the Field of Health
Author Dr. Shahul Hameed Pakkir Mohamed
Publisher Priya Lokare
Release 2022-07-08
Category Computers
Total Pages 161
ISBN 8195694152
Language English, Spanish, and French
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Book Summary:

Artificial Intelligence (AI) and related propels are logically dominating in business and society, and are beginning to be applied to clinical benefits. These advancements might perhaps change various pieces of patient thought, as well as administrative cycles inside the provider, payer, and medication affiliations. There are currently different investigation studies recommending that AI can continue as well as or better than individuals at key clinical benefits tasks, such as diagnosing disease. Today, estimations are at this point beating radiologists at spotting perilous developments and guiding experts in how to fabricate associates for costly clinical starters. In any case, in light of multiple factors, we acknowledge that it will be various earlier years AI replaces individuals for far-reaching clinical cycle regions. In this article, we depict both the potential that AI offers to robotize parts of care and a piece of the blocks too fast execution of AI in clinical benefits.