AI-First Healthcare

AI-First Healthcare

Author: Kerrie L. Holley

Publisher: "O'Reilly Media, Inc."

Published: 2021-04-19

Total Pages: 222

ISBN-13: 149206310X

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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


AI-First Healthcare

AI-First Healthcare

Author: Kerrie L. Holley

Publisher: "O'Reilly Media, Inc."

Published: 2021-04-19

Total Pages: 222

ISBN-13: 1492063126

DOWNLOAD EBOOK

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 in Healthcare

Artificial Intelligence in Healthcare

Author: Adam Bohr

Publisher: Academic Press

Published: 2020-06-21

Total Pages: 385

ISBN-13: 0128184396

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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data


Deep Medicine

Deep Medicine

Author: Eric Topol

Publisher: Basic Books

Published: 2019-03-12

Total Pages: 388

ISBN-13: 1541644646

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


AI for Radiology

AI for Radiology

Author: Oge Marques

Publisher: CRC Press

Published: 2024-02-12

Total Pages: 157

ISBN-13: 1003836445

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Artificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows. This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration. This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI’s clinical applications, and anyone interested in the intersection of healthcare and technology.


Bioethics of Cognitive Ergonomics and Digital Transition

Bioethics of Cognitive Ergonomics and Digital Transition

Author: Dall'Acqua, Luisa

Publisher: IGI Global

Published: 2024-07-22

Total Pages: 300

ISBN-13:

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Experts are constantly trying to understand the complex relationships between humans and evolving technologies. Cognitive ergonomics, the science behind human-machine interactions, ensures optimal performance and decision-making. Understanding and managing these interactions, especially in medicine and computer tasks, requires an interdisciplinary approach. Bioethics of Cognitive Ergonomics and Digital Transition addresses these challenges head-on, offering a comprehensive exploration of cognitive ergonomics and its implications for technology, society, and more. One of the critical issues addressed in this book is the ethical design and implementation of human-machine interactions, particularly in biomedical research and treatment contexts. As technologies like artificial intelligence (AI) and biotechnology continue to advance, the need for ethical frameworks becomes increasingly critical. This book examines the bioethical perspectives of these interactions, providing readers with insights into how to navigate these complex issues responsibly.


Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems

Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems

Author: D. Jude Hemanth

Publisher: Elsevier

Published: 2024-11-16

Total Pages: 266

ISBN-13: 0443240485

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Leveraging Metaverse and Analytics of Things (AoT) in Medical Systems explores the potential benefits and applications of emerging technologies such as metaverse and AoT in the field of healthcare. The book provides insights into how these technologies can be leveraged to improve the efficiency, effectiveness, and quality of medical systems. It explores the concept of metaverse and its potential applications in healthcare, including the use of virtual and augmented reality technologies for medical education, training, and simulation, as well as the development of immersive environments for patient care and therapy. The book also delves into the field of AoT, such as the use of wearable devices, smart sensors, and other connected technologies to monitor patient health, track medical outcomes, and inform clinical decision-making. Integrating both technologies can help improve medical training, diagnosis, treatment, and patient outcomes through the use of virtual reality and real-time data analytics. - Features research methods, data analysis techniques, and best practices related to the implementation of Metaverse and Analytics of Things (AoT) in medical systems - Provides practical guidance and recommendations on how healthcare organizations can adopt and implement Metaverse and Analytics of Things (AoT) in their operations - Includes case studies and real-world examples of how healthcare organizations have successfully leveraged technology and data analytics to improve patient care and operational efficiency


The AI-First Company

The AI-First Company

Author: Ash Fontana

Publisher: Penguin

Published: 2021-05-04

Total Pages: 306

ISBN-13: 0593330315

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Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.


Everything About Me - First book written about artificial intelligence using Ai

Everything About Me - First book written about artificial intelligence using Ai

Author: Alexandra Sandberg

Publisher: Alexandra Sandberg, Mikael Sandberg

Published:

Total Pages: 126

ISBN-13:

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"Everything About Me" is a revolutionary book written by Alexandra and Mikael Sandberg, using cutting-edge AI technology. This groundbreaking work is the first book ever written about artificial intelligence using AI. The authors delve into the complexities of this rapidly evolving field, exploring the history, current developments, and future possibilities of AI. They examine the ethical and societal implications of these technologies, and provide insight into the inner workings of AI systems. This book is a must-read for anyone interested in the field of artificial intelligence and its impact on the world. It is an unparalleled look into the mind of AI and the potential it holds for shaping our future.