Download Artificial Intelligence in Precision Health Ebook PDF

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
From Concept to Applications

by Debmalya Barh

  • Publisher : Academic Press
  • Release : 2020-03-04
  • Pages : 544
  • ISBN : 0128173386
  • Language : En, Es, Fr & De
GET BOOK

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

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
From Concept to Applications

by Debmalya Barh

  • Publisher : Academic Press
  • Release : 2020-01-24
  • Pages : 500
  • ISBN : 9780128171332
  • Language : En, Es, Fr & De
GET BOOK

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 analyse 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, modelling 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

Precision Health and Medicine

Precision Health and Medicine
A Digital Revolution in Healthcare

by Arash Shaban-Nejad,Martin Michalowski

  • Publisher : Springer
  • Release : 2019-08-01
  • Pages : 197
  • ISBN : 3030244091
  • Language : En, Es, Fr & De
GET BOOK

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Deep Learning for Precision Diagnosis & Surgery

Deep Learning for Precision Diagnosis & Surgery
Dawn of Artificial Intelligence in Orthopedics

by Vivek S. Jagadale

  • Publisher : Notion Press
  • Release : 2020-04-15
  • Pages : 96
  • ISBN : 1648056989
  • Language : En, Es, Fr & De
GET BOOK

Artificial intelligence, smart applications, and virtual assistants are now revolutionizing every area of our lives, including healthcare delivery. This book introduces readers to the latest technological advances in the emerging field of augmented clinical care, machine learning for early diagnosis, and artificial intelligence-assisted precision surgery with orthopedics as a leading example. The applications of these techniques in orthopedic interventions offer many potential benefits, e.g., early diagnosis of elusive complications, precise templating and planning of surgery, systematic execution of the original plan with maximum accuracy, facilitating minimally invasive surgery and improving outcomes. This book is a valuable resource for all healthcare researchers, AI-based software developers and clinicians, on what is needed and what to expect to excel in the future of high-quality patient care. It also outlines why physicians must play a pivotal role in the development of these AI-based applications that will plainly define the future of personalized and cost-effective healthcare delivery for maximum patient safety and satisfaction. May the miracle you need be just around the corner.

Discovering Precision Health

Discovering Precision Health
Predict, Prevent, and Cure to Advance Health and Well-Being

by Lloyd Minor

  • Publisher : John Wiley & Sons
  • Release : 2020-01-23
  • Pages : 288
  • ISBN : 1119672686
  • Language : En, Es, Fr & De
GET BOOK

Today we are on the brink of a much-needed transformative moment for health care. The U.S. health care system is designed to be reactive instead of preventive. The result is diagnoses that are too late and outcomes that are far worse than our level of spending should deliver. In recent years, U.S. life expectancy has been declining. Fundamental to realizing better health, and a more effective health care system, is advancing the disruptive thinking that has spawned innovation in Silicon Valley and throughout the world. That's exactly what Stanford Medicine has done by proposing a new vision for health and health care. In Discovering Precision Health, Lloyd Minor and Matthew Rees describe a holistic approach that will set health care on the right track: keep people healthy by preventing disease before it starts and personalize the treatment of individuals precisely, based on their specific profile. With descriptions of the pioneering work undertaken at Stanford Medicine, complemented by fascinating case studies of innovations from entities including the Chan Zuckerberg Biohub, GRAIL, and Impossible Foods, Minor and Rees present a dynamic vision for the future of individual health and health care. You'll see how tools from smartphone technology to genome sequencing to routine blood tests are helping avert illness and promote health. And you'll learn about the promising progress already underway in bringing greater precision to the process of predicting, preventing, and treating a range of conditions, including allergies, mental illness, preterm birth, cancer, stroke, and autism. The book highlights how biomedical advances are dramatically improving our ability to treat and cure complex diseases, while emphasizing the need to devote more attention to social, behavioral, and environmental factors that are often the primary determinants of health. The authors explore thought-provoking topics including: The unlikely role of Google Glass in treating autism How gene editing can advance precision in treating disease What medicine can learn from aviation liHow digital tools can contribute to health and innovation Discovering Precision Health showcases entirely new ways of thinking about health and health care and can help empower us to lead healthier lives.

Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare
A Book

by Ankur Saxena

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811608113
  • Language : En, Es, Fr & De
GET BOOK

Machine Learning and AI for Healthcare

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

by Arjun Panesar

  • Publisher : Apress
  • Release : 2019-02-04
  • Pages : 368
  • ISBN : 1484237994
  • Language : En, Es, Fr & De
GET BOOK

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.

MEDINFO 2017: Precision Healthcare Through Informatics

MEDINFO 2017: Precision Healthcare Through Informatics
Proceedings of the 16th World Congress on Medical and Health Informatics

by A.V. Gundlapalli,M.-C. Jaulent,D. Zhao

  • Publisher : IOS Press
  • Release : 2018-01-31
  • Pages : 1476
  • ISBN : 1614998302
  • Language : En, Es, Fr & De
GET BOOK

Medical informatics is a field which continues to evolve with developments and improvements in foundational methods, applications, and technology, constantly offering opportunities for supporting the customization of healthcare to individual patients. This book presents the proceedings of the 16th World Congress of Medical and Health Informatics (MedInfo2017), held in Hangzhou, China, in August 2017, which also marked the 50th anniversary of the International Medical Informatics Association (IMIA). The central theme of MedInfo2017 was "Precision Healthcare through Informatics", and the scientific program was divided into five tracks: connected and digital health; human data science; human, organizational, and social aspects; knowledge management and quality; and safety and patient outcomes. The 249 accepted papers and 168 posters included here span the breadth and depth of sub-disciplines in biomedical and health informatics, such as clinical informatics; nursing informatics; consumer health informatics; public health informatics; human factors in healthcare; bioinformatics; translational informatics; quality and safety; research at the intersection of biomedical and health informatics; and precision medicine. The book will be of interest to all those who wish to keep pace with advances in the science, education, and practice of biomedical and health informatics worldwide.

Machine Intelligence for Healthcare

Machine Intelligence for Healthcare
A Book

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

  • Publisher : Unknown Publisher
  • Release : 2017-02-02
  • Pages : 346
  • ISBN : 9781542924948
  • Language : En, Es, Fr & De
GET BOOK

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.

Emerging Technologies for Nurses

Emerging Technologies for Nurses
Implications for Practice

by Whende M. Carroll, MSN, RN-BC

  • Publisher : Springer Publishing Company
  • Release : 2020-02-01
  • Pages : 262
  • ISBN : 0826146511
  • Language : En, Es, Fr & De
GET BOOK

Learn and innovate with the latest technologies in nursing and healthcare! The first text of its kind in nursing, this book provides up-to-date information on innovative, smart technologies that nurses can use in clinical and nonclinical settings to keep up with the changing face of healthcare. This compelling guide will provide you with information about exciting areas of technology that have great potential to improve patient care. Subjects include big data, artificial intelligence, virtual and augmented realities, connected technologies, and precision health. There is also discusson of the shift of healthcare delivery into the community, with an outlook on improving outcomes and enhancing practice. Each chapter focuses on developing competency in current and future real-world applications of emerging technologies. Early chapters describe how to utilize new tools, processes, models, and products to serve the quadruple aim of better managing populations, decreasing costs, and enhancing both the patient’s and the clinician’s experience. The culture of innovation coincides with the ever-changing politics of healthcare in later chapters, which then evolves into the entrepreneurial opportunities for nurses. This text is an essential introduction for all practicing nurses, nurse leaders, and nurses teaching health information technology or informatics courses. Key Features: Written by nurses for nurses The latest information on emerging health information technology and associated nursing implications Compelling cases show the dramatic effect of innovations on value-based care Learn how applying novel technologies can improve patient care Qualified instructors have access to supplementary materials, including PowerPoint slides and an Instructor’s Manual

Next Generation Technology Driven Precission Medicine and Smart Healthcare

Next Generation Technology Driven Precission Medicine and Smart Healthcare
A Book

by Miltiadis D. Lytras,Anna Visvizi,Akila Sarirete

  • Publisher : Academic Press
  • Release : 2020-09-01
  • Pages : 380
  • ISBN : 0128220627
  • Language : En, Es, Fr & De
GET BOOK

Next Generation Technology Driven Precission Medicine and 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

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
A Book

by Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz

  • Publisher : CRC Press
  • Release : 2017-02-15
  • Pages : 210
  • ISBN : 1315389312
  • Language : En, Es, Fr & De
GET BOOK

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Artificial Intelligence and Social Work

Artificial Intelligence and Social Work
A Book

by Milind Tambe,Eric Rice

  • Publisher : Cambridge University Press
  • Release : 2018-11-29
  • Pages : 280
  • ISBN : 1108425992
  • Language : En, Es, Fr & De
GET BOOK

An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.

Artificial Intelligence in Celiac Disease

Artificial Intelligence in Celiac Disease
Celiac Disease ,the Health IT,Artificial Intelligence in Healthcare Healthcare Applications ,Biomedical Research

by Dani Wade

  • Publisher : Unknown Publisher
  • Release : 2021-04-07
  • Pages : 31
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

In recent years, medical data used for clinical practice has been readily made available in electronic form. These data inform the decision-making of clinicians in patient-care, with the ultimate goal of tailoring each patient's assessment and plan to the individual. Indeed, this is the goal of "precision medicine": utilizing different data modal- ities, including genomic data, electronic medical records (EMR), textual data (e.g. unstructured patient notes), and image data (e.g. CT scans, MRI, endoscopy), to optimize and personalize treatment for a patient [1].

AI-First Healthcare

AI-First Healthcare
A Book

by Kerrie L. Holley,Siupo Becker M.D.

  • Publisher : "O'Reilly Media, Inc."
  • Release : 2021-04-19
  • Pages : 222
  • ISBN : 149206310X
  • Language : En, Es, Fr & De
GET BOOK

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

Artificial Intelligence and Deep Learning in Pathology E-Book

Artificial Intelligence and Deep Learning in Pathology E-Book
A Book

by Stanley Cohen

  • Publisher : Elsevier Health Sciences
  • Release : 2020-06-02
  • Pages : 288
  • ISBN : 0323675379
  • Language : En, Es, Fr & De
GET BOOK

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Digital Medicine

Digital Medicine
A Book

by Arthur André

  • Publisher : Springer
  • Release : 2018-12-13
  • Pages : 110
  • ISBN : 3319982168
  • Language : En, Es, Fr & De
GET BOOK

This book provides an up to date user friendly resource on the emerging field of digital medicine and its present and potential future role in modern healthcare. Chapters are written by a specialist on each area in an easy to read format, which broadly covers the potential of digital medicine in epidemiology, precision medicine and surgery. Chapters focus on aspects of telemedicine, the applications of big data, artificial intelligence, blockchain, regenerative medicine, legal aspects and business models. Furthermore, guidance is given on medical ethics and how to manage doctor patient relationships in the modern age. Digital Medicine comprehensively reviews the emerging field of digital medicine in modern healthcare and is therefore a critical resource for physicians and medical trainees who are looking for comprehensive resource on digital medicine and its potential role in modern healthcare.

Precision Medicine in Stroke

Precision Medicine in Stroke
A Book

by Ana Catarina Fonseca,José M. Ferro

  • Publisher : Springer
  • Release : 2021-05-19
  • Pages : 333
  • ISBN : 9783030707606
  • Language : En, Es, Fr & De
GET BOOK

This book provides a comprehensive coverage of the state of the art in precision medicine in stroke. It starts by explaining and giving general information about precision medicine. Current applications in different strokes types (ischemic, haemorrhagic) are presented from diagnosis to treatment. In addition, ongoing research in the field (early stroke diagnosis and estimation of prognosis) is extensively discussed. The final part provides an in-depth discussion of how different interdisciplinary areas like artificial intelligence, molecular biology and genetics are contributing to this area. Precision Medicine in Stroke provides a practical approach to each chapter, reinforcing clinical applications and presenting clinical cases. This book is intended for all clinicians that interact with stroke patients (neurologists, internal medicine doctors, general practitioners, neurosurgeons), students and basic researchers.

Eleventh International Conference on Artificial Intelligence and Law

Eleventh International Conference on Artificial Intelligence and Law
Proceedings, June 4-8, 2007, Stanford Law School, Stanford, California

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2007
  • Pages : 290
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

Essentials of Nursing Informatics, 7th Edition

Essentials of Nursing Informatics, 7th Edition
A Book

by Virginia K. Saba,Kathleen A. McCormick

  • Publisher : McGraw Hill Professional
  • Release : 2021-03-22
  • Pages : 896
  • ISBN : 126045679X
  • Language : En, Es, Fr & De
GET BOOK

The single best resource for learning how technology can make the nursing experience as rewarding and successful as possible Essentials of Nursing Informatics provides the information and insights readers need to manage and process data to improve the quality and outcomes of healthcare. Topics include the use of computers in nursing administration, practice, education, and research; computer systems and information theory; electronic medical records, continuum of care information technology systems, and personal health records; coding; and government, clinical, and private sector system requirements. This revised and updated edition covers the latest changes in technology, administration, policy, and their effects on healthcare informatics in the U.S., with contributing international authors from Canada, South America, Europe, Asia, Australia, and New Zealand. The seventh edition includes section summaries, and each chapter includes sample test questions and answers. This updated seventh edition covers: • Nursing Informatics Technologies • Nursing Practice Applications • System Standards • Advanced Applications for the 4th Nursing IT Revolution • System Life Cycle • Educational Applications • Informatics Theory Standards • Research Applications • Policies and Quality Measures in Healthcare