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Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care

Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care
Author: Murugan, Thangavel
Publisher: IGI Global
Total Pages: 418
Release: 2024-07-22
Genre: Medical
ISBN:
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Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today’s world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 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

Artificial Intelligence Transformations for Healthcare Applications

Artificial Intelligence Transformations for Healthcare Applications
Author: Thangavel Murugan
Publisher:
Total Pages: 0
Release: 2024-07-22
Genre: Computers
ISBN:
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Artificial intelligence (AI) has emerged as a transformative force across various domains, revolutionizing the way we perceive and address challenges in healthcare. The convergence of AI and healthcare holds immense promise, offering unprecedented opportunities to enhance medical diagnosis, treatment, and patient care. In today's world, the intersection of AI and healthcare stands as one of the most promising frontiers for innovation and progress. Artificial Intelligence Transformations for Healthcare Applications: Medical Diagnosis, Treatment, and Patient Care embodies this convergence, offering a comprehensive exploration of how AI is revolutionizing various aspects of healthcare delivery. At its core, this book addresses the urgent need for more effective and efficient healthcare solutions in an increasingly complex and data-rich environment. Covering topics such as chronic disease, image classification, and precision medicine, this book is an essential resource for healthcare professionals, medical researchers, AI and machine learning specialists, healthcare administrators and executives, medical educators and students, biomedical engineers, healthcare IT professionals, policy makers and regulators, academicians, and more.

Artificial Intelligence in Healthcare: Transforming the Medical Industry

Artificial Intelligence in Healthcare: Transforming the Medical Industry
Author: Michael Roberts
Publisher: Richards Education
Total Pages: 161
Release:
Genre: Computers
ISBN:
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Artificial Intelligence (AI) is revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline clinical operations, and accelerate medical research. "Artificial Intelligence in Healthcare: Transforming the Medical Industry" is your comprehensive guide to understanding and leveraging AI technologies in the medical field. This book explores the various applications of AI in healthcare, from diagnostic tools and personalized medicine to administrative efficiency and patient management. With detailed case studies, expert insights, and practical advice, this handbook is an essential resource for healthcare professionals, technology enthusiasts, and industry leaders. Embrace the future of healthcare and discover how AI can transform the way we diagnose, treat, and manage diseases.

Digital Health Transformation with Blockchain and Artificial Intelligence

Digital Health Transformation with Blockchain and Artificial Intelligence
Author: Chinmay Chakraborty
Publisher: CRC Press
Total Pages: 370
Release: 2022-05-10
Genre: Computers
ISBN: 1000580946
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The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Deep Medicine

Deep Medicine
Author: Eric Topol
Publisher: Basic Books
Total Pages: 373
Release: 2019-03-12
Genre: Health & Fitness
ISBN: 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.

Artificial Intelligence for Health 4.0: Challenges and Applications

Artificial Intelligence for Health 4.0: Challenges and Applications
Author: Rishabha Malviya
Publisher: CRC Press
Total Pages: 420
Release: 2023-03-10
Genre: Computers
ISBN: 1000847020
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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.

AI-First Healthcare

AI-First Healthcare
Author: Kerrie L. Holley
Publisher: "O'Reilly Media, Inc."
Total Pages: 222
Release: 2021-04-19
Genre: Business & Economics
ISBN: 1492063126
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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

Artificial Intelligence

Artificial Intelligence
Author: Sandeep Reddy
Publisher: CRC Press
Total Pages: 287
Release: 2020-12-02
Genre: Business & Economics
ISBN: 1000216861
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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.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Carlos Montaña
Publisher: Independently Published
Total Pages: 0
Release: 2023-10-24
Genre:
ISBN:
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"Artificial Intelligence in Healthcare: Transforming Medicine" is your comprehensive guide to the revolutionary fusion of healthcare and AI. This book delves deep into the transformative impact of AI on the medical field, exploring its applications, benefits, challenges, and the promising future it holds. Chapter 1 provides an insightful introduction to AI in healthcare, tracing the evolution of healthcare and AI, discussing the pivotal role AI plays in this industry, and presenting a balanced view of its benefits and challenges. Chapter 2 takes you through the fundamentals of machine learning and its applications in healthcare. It covers supervised learning in medical diagnosis, unsupervised learning, and reinforcement learning for treatment optimization. Chapter 3 is a journey into the world of Natural Language Processing (NLP) in medical records. It explains the intricacies of text data preprocessing, named entity recognition, sentiment analysis, and the role of medical chatbots and virtual health assistants. Chapter 4 explores the dynamic applications of computer vision in healthcare. It discusses image classification for radiology, object detection for surgical assistance, facial recognition in patient identification, and real-time monitoring with video analytics. Chapter 5 dives into predictive analytics and disease forecasting, covering predictive modeling in healthcare, early disease detection, readmission risk prediction, and even epidemic outbreak forecasting. Chapter 6 delves into the realm of robotics and automation in healthcare. It covers surgical robots, teleoperation, robotic rehabilitation, and AI-driven medical robots while also addressing the challenges and ethical considerations in this field. Chapter 7 sheds light on the critical aspects of data privacy and ethical concerns, encompassing patient data protection, ethical AI in healthcare, bias and fairness in medical AI, and regulatory compliance. Chapter 8 offers captivating case studies in AI-enabled healthcare, covering AI applications in hospitals, drug discovery and development, AI-assisted radiology, and the fascinating world of personalized medicine and genomics. Chapter 9 provides a glimpse into the future, exploring AI-integrated medical devices, the role of quantum computing in healthcare, AI's impact on mental health, and AI-powered healthcare delivery models. Chapter 10 addresses the real-world challenges of implementation and adoption, covering staff training and change management, integration with existing healthcare systems, cost and ROI considerations, and the art of addressing patient concerns. With a comprehensive scope, insightful case studies, and in-depth coverage of AI's role in reshaping healthcare, this book offers a valuable resource for healthcare professionals, AI enthusiasts, and anyone intrigued by the powerful synergy of technology and medicine. Explore the potential, tackle the challenges, and prepare for a future where AI and healthcare are inseparable partners in the pursuit of improved patient care and well-being.