Artificial Intelligence In Medicine And Surgery An Exploration Of Current Trends Potential Opportunities And Evolving Threats Volume 1

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Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1

Author : Anonim
Publisher : BoD – Books on Demand
Page : 344 pages
File Size : 52,9 Mb
Release : 2023-12-13
Category : Technology & Engineering
ISBN : 9781837682720

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Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1 by Anonim Pdf

Human history is filled with inventions and other innovations that resulted in a significant and lasting change in our civilization’s course of development. From gasoline-powered vehicles to transistor-based electronics or jet airplanes, things we now take for granted often appeared suddenly and unexpectedly. Yet after their introduction, our world changed forever. Over the past two decades, artificial intelligence (AI) and machine learning (ML) have been stealthily increasing their presence in our everyday lives. This 'randomly systematic” adoption process is exposing humanity to something we never previously directly faced: an intelligence that may (and likely will) exceed our own. Despite this, most people are not fully aware of current (and future) benefits, limitations, and threats related to AI/ML. Within health care, there is little awareness of what AI/ML is capable of and how these new capabilities are being implemented or utilized. It is this current state that serves as our 'starting point” in the emerging debate on AI/ML in medicine and surgery, including its integration, projected influence, and many other considerations that are not that different from other past technology adoption paradigms. This book discusses both current trends and future developments in AI and ML across health care.

Artificial Intelligence in Healthcare

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 44,8 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

Artificial Intelligence in Medicine

Author : Thompson Stephan
Publisher : Unknown
Page : 0 pages
File Size : 48,9 Mb
Release : 2025
Category : Artificial intelligence
ISBN : 1032438355

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Artificial Intelligence in Medicine by Thompson Stephan Pdf

"In the ever-evolving realm of healthcare, "Artificial Intelligence in Medicine" emerges as a trailblazing guide, offering an exhaustive exploration of the transformative power of Artificial Intelligence (AI). Crafted by leading experts in the field, this book sets out to bridge the gap between theoretical understanding and practical application, presenting a comprehensive journey through the foundational principles, cutting-edge applications, and the potential impact of AI in the medical landscape. This book embarks on a journey from foundational principles to advanced applications, presenting a holistic perspective on the integration of AI into diverse aspects of medicine. With a clear aim to cater to both researchers and practitioners, the scope extends from fundamental AI techniques to their innovative applications in disease detection, prediction, and patient care. Distinguished by its practical orientation, each chapter presents actionable workflows, making theoretical concepts directly applicable to real-world medical scenarios. This unique approach sets the book apart, making it an invaluable resource for learners and practitioners alike. This book caters to researchers, practitioners, and students in medicine, computer science, and healthcare technology. With a focus on practical applications, this book is an essential guide for navigating the dynamic intersection of AI and medicine. Whether you are an expert or a newcomer to the field, this comprehensive volume provides a roadmap to the revolutionary impact of AI on the future of healthcare"--

Artificial Intelligence in Medicine

Author : Niklas Lidströmer,Hutan Ashrafian
Publisher : Springer
Page : 1816 pages
File Size : 46,9 Mb
Release : 2022-03-17
Category : Medical
ISBN : 303064572X

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Artificial Intelligence in Medicine by Niklas Lidströmer,Hutan Ashrafian Pdf

This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.

Handbook of Artificial Intelligence in Healthcare

Author : Chee-Peng Lim,Yen-Wei Chen,Ashlesha Vaidya,Charu Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 429 pages
File Size : 51,7 Mb
Release : 2021-11-26
Category : Technology & Engineering
ISBN : 9783030836207

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Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Yen-Wei Chen,Ashlesha Vaidya,Charu Mahorkar,Lakhmi C. Jain Pdf

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

Artificial Intelligence in Healthcare and Medicine

Author : Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr
Publisher : CRC Press
Page : 286 pages
File Size : 51,7 Mb
Release : 2022
Category : Computers
ISBN : 1003120903

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Artificial Intelligence in Healthcare and Medicine by Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr Pdf

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

Healthcare and Artificial Intelligence

Author : Bernard Nordlinger,Cédric Villani,Daniela Rus
Publisher : Springer Nature
Page : 275 pages
File Size : 55,5 Mb
Release : 2020-03-17
Category : Technology & Engineering
ISBN : 9783030321611

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Healthcare and Artificial Intelligence by Bernard Nordlinger,Cédric Villani,Daniela Rus Pdf

This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic “AI” might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

Artificial Intelligence

Author : Sandeep Reddy
Publisher : CRC Press
Page : 287 pages
File Size : 40,9 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.

Dr. AI - The Future Of Medicine?

Author : Michelle Gresbek
Publisher : Independently Published
Page : 0 pages
File Size : 50,6 Mb
Release : 2024-02-16
Category : Health & Fitness
ISBN : 9798879789034

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Dr. AI - The Future Of Medicine? by Michelle Gresbek Pdf

In her compelling new book, "Dr. AI - The Future Of Medicine?" Michelle Gresbek invites readers on an enthralling journey into the dynamic realm of Artificial Intelligence (AI) and its groundbreaking impact on the field of medicine. This book serves as an in-depth exploration of the foundational principles, hurdles, and potentials that arise with the integration of AI applications in the healthcare sector. At a juncture where technological advancements and ethical considerations converge, Michelle Gresbek adeptly navigates through this intricate landscape, offering a comprehensive overview of the historical evolution, economic significance, and strategic relevance of Artificial Intelligence. Beyond shedding light on the technical prerequisites and ethical guidelines, the author delves into the pivotal legal framework essential for the successful implementation of AI in healthcare. Michelle emphasizes the critical role of digital proficiency, professional qualifications, and transparency as integral factors for fostering the seamless integration of AI within the healthcare landscape. Throughout the pages of this book, concrete examples of AI applications in healthcare are vividly presented. From the role of medical chatbots to early diagnostics and the intricate tasks of detecting and managing pandemics, Michelle Gresbek provides a lucid perspective on the immense potential that AI holds for the future of medicine. The book critically examines not only the opportunities but also the inherent risks of this transformative technology, particularly concerning the potential misuse of health data, misinterpretations, and the evolving dynamics of doctor-patient interactions. "Dr. AI - The Future Of Medicine?" stands as an indispensable work that introduces healthcare professionals and readers from diverse backgrounds to the captivating world of Artificial Intelligence. Offering a holistic panorama of the metamorphosis underway in medicine through innovative technologies, the book encourages a thoughtful engagement with the challenges and opportunities inherent in the evolving landscape of healthcare. Author: Michelle Gresbek, born in May 2000 in Erlangen, is an accomplished expert in the healthcare sector. Currently pursuing her Bachelor's in Health/Health Care Administration/Management at Alice Salomon University in Berlin, she specializes in Artificial Intelligence (AI). In addition to her professional career, Michelle is a successful author, with notable publications such as "Natürliche Leberheilung" and "Diabetes ist keine Sackgasse." The present book, also available in German, showcases her passion for health topics. Michelle Gresbek's commitment to sharing knowledge and practices in healthcare is evident in her multifaceted contributions to the field.

Artificial Intelligence in Medicine

Author : Manda Raz,Tam C. Nguyen,Erwin Loh
Publisher : Springer Nature
Page : 255 pages
File Size : 55,9 Mb
Release : 2022-06-16
Category : Medical
ISBN : 9789811912238

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Artificial Intelligence in Medicine by Manda Raz,Tam C. Nguyen,Erwin Loh Pdf

This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.

Artificial Intelligence in Medicine: A Practical Guide for Clinicians

Author : Campion Quinn
Publisher : World Scientific Publishing Company
Page : 0 pages
File Size : 54,6 Mb
Release : 2024
Category : Computers
ISBN : 9811284563

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Artificial Intelligence in Medicine: A Practical Guide for Clinicians by Campion Quinn Pdf

'Artificial Intelligence in Medicine' is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses and personalized treatments, while addressing ethical and regulatory considerations.The book examines the practical aspects of AI implementation in clinical practice and emphasizes the human aspect of AI in healthcare and patient engagement. Readers can gain insights into the role of AI in clinical decision support, collaborative learning, and knowledge sharing. It concludes with a glimpse into the future of AI-driven healthcare, exploring the emerging technologies and trends in the rapidly evolving field of AI in medicine.

Artificial Intelligence and Machine Learning for Healthcare

Author : Chee Peng Lim,Ashlesha Vaidya,Yen-Wei Chen,Vaishnavi Jain,Lakhmi C. Jain
Publisher : Springer Nature
Page : 282 pages
File Size : 41,6 Mb
Release : 2022-09-29
Category : Medical
ISBN : 9783031111709

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Artificial Intelligence and Machine Learning for Healthcare by Chee Peng Lim,Ashlesha Vaidya,Yen-Wei Chen,Vaishnavi Jain,Lakhmi C. Jain Pdf

In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.

Artificial Intelligence

Author : Anonim
Publisher : BoD – Books on Demand
Page : 142 pages
File Size : 50,9 Mb
Release : 2019-07-31
Category : Medical
ISBN : 9781789840179

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Artificial Intelligence by Anonim Pdf

Artificial intelligence (AI) is taking on an increasingly important role in our society today. In the early days, machines fulfilled only manual activities. Nowadays, these machines extend their capabilities to cognitive tasks as well. And now AI is poised to make a huge contribution to medical and biological applications. From medical equipment to diagnosing and predicting disease to image and video processing, among others, AI has proven to be an area with great potential. The ability of AI to make informed decisions, learn and perceive the environment, and predict certain behavior, among its many other skills, makes this application of paramount importance in today's world. This book discusses and examines AI applications in medicine and biology as well as challenges and opportunities in this fascinating area.

AI in Clinical Medicine

Author : Michael F. Byrne,Nasim Parsa,Alexandra T. Greenhill,Daljeet Chahal,Omer Ahmad,Ulas Bagci
Publisher : John Wiley & Sons
Page : 597 pages
File Size : 45,6 Mb
Release : 2023-03-01
Category : Medical
ISBN : 9781119790679

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AI in Clinical Medicine by Michael F. Byrne,Nasim Parsa,Alexandra T. Greenhill,Daljeet Chahal,Omer Ahmad,Ulas Bagci Pdf

AI IN CLINICAL MEDICINE An essential overview of the application of artificial intelligence in clinical medicine AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future. Readers will find that this book: Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains. Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues. Addresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns. Includes bulleted lists of learning objectives, key insights, clinical vignettes, brief examples of where AI is successfully deployed, and examples of potential problematic uses of AI and possible risks. From radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more, AI in Clinical Medicine: A Practical Guide for Healthcare Professionals explores all recent state-of-the-art developments in the field. It is an essential resource for a general medical audience across all disciplines, from students to clinicians, academics to policy makers.

Artificial Intelligence for Health 4.0: Challenges and Applications

Author : Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 420 pages
File Size : 54,7 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.