Sex and Gender Bias in Technology and Artificial Intelligence

Sex and Gender Bias in Technology and Artificial Intelligence
Author: Davide Cirillo,Silvina Catuara -Solarz,Emre Guney
Publsiher: Academic Press
Total Pages: 270
Release: 2021-11-15
ISBN 10: 9780128213926
ISBN 13: 0128213922
Language: EN, FR, DE, ES & NL

Sex and Gender Bias in Technology and Artificial Intelligence Book Review:

Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches. First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare Co-published by the Women's Brain Project, a leading non-profit organization in this area Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing

Data Feminism

Data Feminism
Author: Catherine D'Ignazio,Lauren F. Klein
Publsiher: MIT Press
Total Pages: 328
Release: 2020-03-31
ISBN 10: 0262358530
ISBN 13: 9780262358538
Language: EN, FR, DE, ES & NL

Data Feminism Book Review:

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

The Oxford Handbook of Ethics of AI

The Oxford Handbook of Ethics of AI
Author: Markus Dirk Dubber,Frank Pasquale,Sunit Das
Publsiher: Oxford Handbooks
Total Pages: 896
Release: 2020
ISBN 10: 019006739X
ISBN 13: 9780190067397
Language: EN, FR, DE, ES & NL

The Oxford Handbook of Ethics of AI Book Review:

This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
Author: Denis Dennehy,Anastasia Griva,Nancy Pouloudi,Yogesh K. Dwivedi,Ilias Pappas,Matti Mäntymäki
Publsiher: Springer Nature
Total Pages: 788
Release: 2021-08-25
ISBN 10: 3030854477
ISBN 13: 9783030854478
Language: EN, FR, DE, ES & NL

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Book Review:

This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.

Artificial Knowing

Artificial Knowing
Author: Alison Adam
Publsiher: Routledge
Total Pages: 216
Release: 2006-07-13
ISBN 10: 1134793553
ISBN 13: 9781134793556
Language: EN, FR, DE, ES & NL

Artificial Knowing Book Review:

Artificial Knowing challenges the masculine slant in the Artificial Intelligence (AI) view of the world. Alison Adam admirably fills the large gap in science and technology studies by showing us that gender bias is inscribed in AI-based computer systems. Her treatment of feminist epistemology, focusing on the ideas of the knowing subject, the nature of knowledge, rationality and language, are bound to make a significant and powerful contribution to AI studies. Drawing from theories by Donna Haraway and Sherry Turkle, and using tools of feminist epistemology, Adam provides a sustained critique of AI which interestingly re-enforces many of the traditional criticisms of the AI project. Artificial Knowing is an esential read for those interested in gender studies, science and technology studies, and philosophical debates in AI.

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

Internet Health Report 2019

Internet Health Report 2019
Author: Mozilla Foundation
Publsiher: transcript Verlag
Total Pages: 118
Release: 2019-08-31
ISBN 10: 3839449464
ISBN 13: 9783839449462
Language: EN, FR, DE, ES & NL

Internet Health Report 2019 Book Review:

This annual report is a call to action to recognize the things that are having an impact on the internet today, and to embrace the notion that we as humans can change how we make money, govern societies, and interact with one another online. We invite you to participate in setting an agenda for how we can work together to create an internet that truly puts people first. This book is neither a country-level index nor a doomsday clock. Our intention is to show that while the worldwide consequences of getting things wrong with the internet could be huge - for peace and security, for political and individual freedoms, for human equality - the problems are never so great that nothing can be done. More people than you imagine are working to make the internet healthier by applying their skills, creativity, and personal bravery to business, technology, activism, policy and regulation, education, and community development.

AI and education

AI and education
Author: Holmes, Wayne,Hui, Zhang,Miao, Fengchun,Ronghuai, Huang,UNESCO
Publsiher: UNESCO Publishing
Total Pages: 48
Release: 2021-04-08
ISBN 10: 9231004476
ISBN 13: 9789231004476
Language: EN, FR, DE, ES & NL

AI and education Book Review:

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Invisible Women

Invisible Women
Author: Caroline Criado Perez
Publsiher: Abrams
Total Pages: 432
Release: 2019-03-12
ISBN 10: 1683353145
ISBN 13: 9781683353140
Language: EN, FR, DE, ES & NL

Invisible Women Book Review:

Data is fundamental to the modern world. From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates shocking root cause of gender inequality and research in Invisible Women†‹, diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.

Race After Technology

Race After Technology
Author: Ruha Benjamin
Publsiher: John Wiley & Sons
Total Pages: 172
Release: 2019-07-09
ISBN 10: 1509526439
ISBN 13: 9781509526437
Language: EN, FR, DE, ES & NL

Race After Technology Book Review:

From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide here.

An Intelligence in Our Image

An Intelligence in Our Image
Author: Osonde A. Osoba,William Welser IV
Publsiher: Rand Corporation
Total Pages: 44
Release: 2017-04-05
ISBN 10: 0833097636
ISBN 13: 9780833097637
Language: EN, FR, DE, ES & NL

An Intelligence in Our Image Book Review:

Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

Image Processing and Capsule Networks

Image Processing and Capsule Networks
Author: Joy Iong-Zong Chen,João Manuel R. S. Tavares,Subarna Shakya,Abdullah M. Iliyasu
Publsiher: Springer Nature
Total Pages: 807
Release: 2020-07-23
ISBN 10: 3030518590
ISBN 13: 9783030518592
Language: EN, FR, DE, ES & NL

Image Processing and Capsule Networks Book Review:

This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.

Algorithms of Oppression

Algorithms of Oppression
Author: Safiya Umoja Noble
Publsiher: NYU Press
Total Pages: 256
Release: 2018-02-20
ISBN 10: 1479837245
ISBN 13: 9781479837243
Language: EN, FR, DE, ES & NL

Algorithms of Oppression Book Review:

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for “black girls”—what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls,” the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance—operating as a source for email, a major vehicle for primary and secondary school learning, and beyond—understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

The Ethical Algorithm

The Ethical Algorithm
Author: Michael Kearns,Aaron Roth
Publsiher: Oxford University Press
Total Pages: 288
Release: 2019-10-04
ISBN 10: 0190948213
ISBN 13: 9780190948214
Language: EN, FR, DE, ES & NL

The Ethical Algorithm Book Review:

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps. Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology.

Sex and Gender Differences in Alzheimer s Disease

Sex and Gender Differences in Alzheimer s Disease
Author: Maria Teresa Ferretti,Annemarie Schumacher Dimech,Antonella Santuccione Chadha
Publsiher: Academic Press
Total Pages: 512
Release: 2021-07-23
ISBN 10: 012819345X
ISBN 13: 9780128193457
Language: EN, FR, DE, ES & NL

Sex and Gender Differences in Alzheimer s Disease Book Review:

Sex and Gender Differences in Alzheimer’s Disease: The Women’s Brain Project offers for the first time a critical overview of the evidence documenting sex and gender differences in Alzheimer’s disease neurobiology, biomarkers, clinical presentation, treatment, clinical trials and their outcomes, and socioeconomic impact on both patients and caregivers. This knowledge is crucial for clinical development, digital health solutions, as well as social and psychological support to Alzheimer’s disease families, in the frame of a precision medicine approach to Alzheimer’s disease. This book brings together up-to-date findings from a variety of experts, covering basic neuroscience, epidemiology, diagnosis, treatment, clinical trials development, socioeconomic factors, and psychosocial support. Alzheimer’s disease, the most common form of dementia, remains an unmet medical need for the planet. Wide interpersonal variability in disease onset, presentation, and biomarker profile make Alzheimer’s a clinical challenge to neuroscientists, clinicians, and drug developers alike, resulting in huge management costs for health systems and society. Not only do women represent the majority of Alzheimer’s disease patients, but they also represent two-thirds of caregivers. Understanding sex and gender differences in Alzheimer’s disease will lead to novel insights into disease mechanisms, and will be crucial for personalized disease management strategies and solutions, involving both the patient and their family. Provides a comprehensive and critical review of sex differences in Alzheimer’s disease Features discussion of sex and gender differences in disease biology, treatment, and socioeconomic factors, including impact on caregivers Combines the knowledge and points-of-view of neuroscientists, medical doctors, psychologists, policymakers, health scientists, and clinical trial experts, for a 360-degree view on the topic and its possible implications Edited by the Women’s Brain Project, the leading NGO in the field of sex and gender differences in brain and mental health as the gateway to precision medicine

Artificial Intelligence Theory Models and Applications

Artificial Intelligence Theory  Models  and Applications
Author: P Kaliraj,T. Devi
Publsiher: CRC Press
Total Pages: 506
Release: 2021-10-21
ISBN 10: 1000460606
ISBN 13: 9781000460605
Language: EN, FR, DE, ES & NL

Artificial Intelligence Theory Models and Applications Book Review:

This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills. FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI’s role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.

Paging Dr Within

Paging Dr  Within
Author: Tom Garz
Publsiher: Tom Garz - TG Ideas LLC
Total Pages: 135
Release: 2020-03-22
ISBN 10: 8835391318
ISBN 13: 9788835391319
Language: EN, FR, DE, ES & NL

Paging Dr Within Book Review:

As a Patient - Would you like a "Patient Listener"? Are you tired of Medicine/Treatment "Trial and Error", at your expense? Are you tired of being shuffled from one Doctor to another? Do you want to "get better" and "stay better"? As a Doctor – Would you like more good information from Patients, relevant to their symptoms? Would you like to help Patients "get better" and "stay better"? Are you open to venturing out of your "comfort zone" in diagnosing and treating patients? Do you sometimes wonder if there is more to diagnosing/treating than what you were taught in Medical School? As a Health/Medical Innovator, Inventor, Engineer, Writer, other Creative Person – Are you looking for some new ideas? Would you like to "Interface" with the "Dr. Within" each of us? As an Insurance Company - Would you like to "pay out" less? If you answered yes to any of the above, maybe this book is for you. This book describes the Concepts of a "Patient Listener" and a "Super Symptom Checker" – Human, Computer, and/or Computer-Assisted Human – Considering the "Big Picture" around Health and/or Symptoms. This book is about 250 pages, a little over half written text. The remainder contains many Reference Links, from which you can build upon and learn from. The author of this book has set up Discussion Groups for this book to help others share, network, collaborate, etc. *** Use of the Information in this book may help the Patient, Doctor, and/or Others "Get Better". Some common Side Effects may include: A better understanding of what affects Health and Symptoms, Seeing the big picture surrounding Symptoms, Better health, less dependence on medication/treatment, generally "feeling better", Experiencing less perceived stress, more contentment with self and life, Perceiving more control of your life, in general, realizing there are always options no matter what, New insights on what could be done to make "it" better. Note - Continued Use of the Information in this book may result in "Staying Better". Ask your Doctor if "Getting Better" and "Staying Better" are right for you. :-)

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.

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author: Pieter Kubben,Michel Dumontier,Andre Dekker
Publsiher: Springer
Total Pages: 219
Release: 2018-12-21
ISBN 10: 3319997130
ISBN 13: 9783319997131
Language: EN, FR, DE, ES & NL

Fundamentals of Clinical Data Science Book Review:

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

AI First Healthcare

AI First Healthcare
Author: Kerrie L. Holley,Siupo Becker M.D.
Publsiher: "O'Reilly Media, Inc."
Total Pages: 222
Release: 2021-04-19
ISBN 10: 1492063126
ISBN 13: 9781492063124
Language: EN, FR, DE, ES & NL

AI First Healthcare Book Review:

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