Artificial Intelligence For Improved Patient Outcomes

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Artificial Intelligence for Improved Patient Outcomes

Daniel W. Byrne
Artificial Intelligence for Improved Patient Outcomes Book PDF

Author : Daniel W. Byrne
Publisher : Lippincott Williams & Wilkins
Page : 224 pages
File Size : 46,5 Mb
Release : 2022-12-15
Category : Medical
ISBN : 9781975197940

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Artificial Intelligence for Improved Patient Outcomes by Daniel W. Byrne Pdf

Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence—all in a manner that is safe and ethical. Daniel Byrne, Director of Artificial Intelligence Research at AVAIL (the Advanced Vanderbilt Artificial Intelligence Laboratory) and author of landmark pragmatic studies published in leading medical journals, shares four decades of experience as a biostatistician and AI researcher. Building on his first book, Publishing Your Medical Research, the author gives the reader the competitive advantage in creating reproducible AI research that will be accepted in prestigious high-impact medical journals.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh
Artificial Intelligence in Healthcare Book PDF

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 47,8 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

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

Machine Learning and AI for Healthcare

Arjun Panesar
Machine Learning and AI for Healthcare Book PDF

Author : Arjun Panesar
Publisher : Apress
Page : 390 pages
File Size : 44,6 Mb
Release : 2019-02-04
Category : Computers
ISBN : 9781484237991

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Machine Learning and AI for Healthcare by Arjun Panesar Pdf

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.

How artificial intelligence will change healthcare forever, for better

Dirk Pickuth
How artificial intelligence will change healthcare forever for better Book PDF

Author : Dirk Pickuth
Publisher : Troubador Publishing Ltd
Page : 199 pages
File Size : 40,6 Mb
Release : 2024-01-26
Category : Medical
ISBN : 9781805147763

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How artificial intelligence will change healthcare forever, for better by Dirk Pickuth Pdf

'How artificial intelligence will change healthcare forever, for better' provides a comprehensive and exciting panorama of AI’s groundbreaking impact across the entire spectrum of medicine and healthcare – from diagnosis and treatment to research, patient care, hospital administration and public health. At the heart of this book is a message of hope. AI has the power to lead us to a future where healthcare is not only more accessible and accurate, but also more proactive and, indeed, more empathetic. 'How artificial intelligence will change healthcare forever, for better' is not just a title – it is an optimistic assurance, a vibrant declaration of an uplifting future that is within our reach. We invite you to join us on an exciting journey through the fascinating world of AI in healthcare, setting sail for a future where healthcare is not only improved, but changed forever, for better.

Artificial Intelligence for Health 4.0: Challenges and Applications

Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Artificial Intelligence for Health 4 0 Challenges and Applications Book PDF

Author : Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 420 pages
File Size : 44,5 Mb
Release : 2023-03-10
Category : Computers
ISBN : 9781000847024

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Artificial Intelligence for Health 4.0: Challenges and Applications by Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

The Economics of Artificial Intelligence

Ajay Agrawal,Joshua Gans,Avi Goldfarb,Catherine Tucker
The Economics of Artificial Intelligence Book PDF

Author : Ajay Agrawal,Joshua Gans,Avi Goldfarb,Catherine Tucker
Publisher : University of Chicago Press
Page : 172 pages
File Size : 44,7 Mb
Release : 2024-03-05
Category : Business & Economics
ISBN : 9780226833125

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The Economics of Artificial Intelligence by Ajay Agrawal,Joshua Gans,Avi Goldfarb,Catherine Tucker Pdf

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Artificial Intelligence

Sandeep Reddy
Artificial Intelligence Book PDF

Author : Sandeep Reddy
Publisher : CRC Press
Page : 287 pages
File Size : 44,6 Mb
Release : 2020-12-02
Category : Business & Economics
ISBN : 9781000216868

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Artificial Intelligence by Sandeep Reddy Pdf

The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

AI in Healthcare

Avery Wright
AI in Healthcare Book PDF

Author : Avery Wright
Publisher : Independently Published
Page : 0 pages
File Size : 43,7 Mb
Release : 2023-01-28
Category : Electronic
ISBN : 9798375318905

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AI in Healthcare by Avery Wright Pdf

The book, "AI in Healthcare: Unlocking the Potential of Artificial Intelligence" written by Avery Wright, explores the current and potential applications of artificial intelligence in the healthcare industry. It covers the various ways in which AI is being used to improve patient outcomes, streamline clinical processes and support healthcare professionals. The book delves into the ethical and legal implications of AI in healthcare and the challenges and limitations of implementing AI in healthcare. It also looks at the role of government and private sector in AI in healthcare, the impact of AI on patient outcomes, and best practices for implementing AI in healthcare. Furthermore, the book includes case studies, a bonus chapter and a discussion of the future potential of AI in healthcare. This book is a comprehensive guide for healthcare professionals, researchers, policymakers, and anyone interested in the intersection of AI and healthcare.

Artificial Intelligence in Medicine

David Riaño,Szymon Wilk,Annette ten Teije
Artificial Intelligence in Medicine Book PDF

Author : David Riaño,Szymon Wilk,Annette ten Teije
Publisher : Springer
Page : 431 pages
File Size : 43,8 Mb
Release : 2019-06-19
Category : Computers
ISBN : 9783030216429

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Artificial Intelligence in Medicine by David Riaño,Szymon Wilk,Annette ten Teije Pdf

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Machine Learning and AI for Healthcare

Arjun Panesar
Machine Learning and AI for Healthcare Book PDF

Author : Arjun Panesar
Publisher : Unknown
Page : 389 pages
File Size : 42,5 Mb
Release : 2019
Category : HEALTH & FITNESS
ISBN : 1484238001

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Machine Learning and AI for Healthcare by Arjun Panesar Pdf

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.

Trust or Technology: The Doctor's Dilemma with AI

M.B. Chatfield,Ava Arin
Trust or Technology The Doctor s Dilemma with AI Book PDF

Author : M.B. Chatfield,Ava Arin
Publisher : M.B. Chatfield
Page : 79 pages
File Size : 41,5 Mb
Release : 2024-04-30
Category : Family & Relationships
ISBN : 8210379456XXX

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Trust or Technology: The Doctor's Dilemma with AI by M.B. Chatfield,Ava Arin Pdf

Medicine stands at a crossroads. Artificial intelligence (AI) offers unprecedented power to diagnose diseases, personalize treatments, and revolutionize healthcare. But can we trust these complex algorithms with our health? M.B. Chatfield and Ava Arin delves into the doctor's dilemma in the age of AI. This thought-provoking book explores the ethical and practical challenges of integrating AI into healthcare. You'll learn about: The immense potential of AI for faster diagnoses, targeted treatments, and preventative care. The critical questions surrounding bias, transparency, and the human element in healthcare decisions. The evolving role of doctors – how AI can augment their expertise, not replace it. Trust or Technology is a compelling read for anyone who wants to understand the future of medicine. It's a call for a balanced approach, where cutting-edge technology empowers doctors to deliver the best possible care, while human compassion remains at the heart of healing. Order today and be among the first to navigate this new era of healthcare!

MEDINFO 2017: Precision Healthcare Through Informatics

A.V. Gundlapalli,M.-C. Jaulent,D. Zhao
MEDINFO 2017 Precision Healthcare Through Informatics Book PDF

Author : A.V. Gundlapalli,M.-C. Jaulent,D. Zhao
Publisher : IOS Press
Page : 1440 pages
File Size : 54,6 Mb
Release : 2018-01-31
Category : Medical
ISBN : 9781614998303

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MEDINFO 2017: Precision Healthcare Through Informatics by A.V. Gundlapalli,M.-C. Jaulent,D. Zhao Pdf

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.

AI in Healthcare

Sandeep Reddy
AI in Healthcare Book PDF

Author : Sandeep Reddy
Publisher : Unknown
Page : 62 pages
File Size : 46,8 Mb
Release : 2019-07-14
Category : Electronic
ISBN : 108049989X

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AI in Healthcare by Sandeep Reddy Pdf

Health Services across the world both in developed and developing countries will see increasing adoption of artificial intelligence (AI) techniques in all aspects of healthcare. Rapid developments in deep learning, computer vision, natural language processing and robotics and use of these approaches in non-health context will convince governments and health services to adopt these approaches in healthcare solutions. This will potentially lead to improved patient outcomes, minimization of medical errors, and cost savings. At the same moment, there may be a degree of resistance from clinicians and patients in incorporating AI applications in healthcare because of the potential for disruption in traditional models of care. So, there will be some work required by health services and software developers to involve clinicians and patients in the development of AI solutions and convincing them of the benefits in the use of AI enabled health applications. This book is an attempt to educate various stakeholders including the general public about AI, it's advantages and limitations and importantly how to appropriately reap the benefits of this technology in healthcare.

Deep Medicine

Eric Topol
Deep Medicine Book PDF

Author : Eric Topol
Publisher : Basic Books
Page : 373 pages
File Size : 54,9 Mb
Release : 2019-03-12
Category : Health & Fitness
ISBN : 9781541644649

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Deep Medicine by Eric Topol Pdf

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.

Artificial Intelligence in Healthcare: Unlocking Its Potential

Janak Gunatilleke
Artificial Intelligence in Healthcare Unlocking Its Potential Book PDF

Author : Janak Gunatilleke
Publisher : Unknown
Page : 0 pages
File Size : 49,5 Mb
Release : 2022-07-06
Category : Business & Economics
ISBN : 1739637402

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Artificial Intelligence in Healthcare: Unlocking Its Potential by Janak Gunatilleke Pdf

Do you want to learn about how AI can and can't help improve healthcare? Do you want to learn how to improve the adoption of AI in healthcare? AI is often seen as a silver bullet, but in many instances AI and data based solutions in healthcare don't fully address the problem and are sometimes not clinically safe. The current adoption of AI in healthcare is at best ad hoc, with a large number of solutions stuck in the proof of concept stage, limited to certain specialities or without robust evidence of their effectiveness. Healthcare has always faced significant challenges, only increased by unprecedented events related to the Covid-19 pandemic. AI solutions have been proven to work and add value in other industries, and it has potential to do the same in healthcare and to help address issues which face the industry. While there are parallels between healthcare and other industries with respect to the implementation of AI solutions, the healthcare industry is unique. The nature of healthcare, and its impact on people's lives, makes certain factors more important than in other industries. Existing guidance and manuals provide good insights, however, you have to refer to many different sources, and attempt to 'knit it all together'. This book presents you with a more holistic approach, which improves the likelihood of a successful implementation and, later, scalability; an approach which considers both the solution lifecycle and the stakeholders involved in it. This book also highlights certain enablers which need support, planning and funding at a national level. It expands on the technical and academic style of previous resources to provide you with an accessible reference guide that is practitioner and implementation focused, grounded in evidence, and brought to life by real life examples and expert interviews. By the end of this book, you will: Understand the potential of AI to add value in healthcare and to improve patient outcomes Know where AI implementation has worked, and the lessons learned from where it hasn't Have a new approach to consider when designing, selecting, and deploying AI solutions in healthcare to increase the likelihood of success and adoption at scale