Handbook Of Ai Based Models In Healthcare And Medicine

Author : Bhanu Chander,Koppala Guravaiah,B. Anoop,G. Kumaravelan
Publisher : CRC Press
Page : 477 pages
File Size : 43,6 Mb
Release : 2024-02-21
Category : Computers
ISBN : 9781003836278

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Handbook of AI-Based Models in Healthcare and Medicine by Bhanu Chander,Koppala Guravaiah,B. Anoop,G. Kumaravelan Pdf

This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems. Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications. Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.

Author : Chee-Peng Lim,Yen-Wei Chen,Ashlesha Vaidya,Charu Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 429 pages
File Size : 55,8 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..

Author : Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 463 pages
File Size : 42,5 Mb
Release : 2021-09-17
Category : Technology & Engineering
ISBN : 9783030791612

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Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain Pdf

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

Author : Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Publisher : IGI Global
Page : 420 pages
File Size : 45,8 Mb
Release : 2020-02-28
Category : Medical
ISBN : 9781799821229

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Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering by Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit Pdf

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Author : Gyorgy J. Simon
Publisher : Springer Nature
Page : 824 pages
File Size : 42,8 Mb
Release : 2024-06-15
Category : Electronic
ISBN : 9783031393556

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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences by Gyorgy J. Simon Pdf

Author : A. Jose Anand,K. Kalaiselvi,Jyotir Moy Chatterjee
Publisher : Wiley
Page : 0 pages
File Size : 54,6 Mb
Release : 2024-12-05
Category : Computers
ISBN : 1394242492

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Artificial Intelligence-Based System Models in Healthcare by A. Jose Anand,K. Kalaiselvi,Jyotir Moy Chatterjee Pdf

Artificial Intelligence-Based System Models in Healthcare provide a comprehensive and insightful guide to the transformative applications of AI in the healthcare system. As technological advancements reshape medical practices, this handbook serves as a roadmap for researchers, healthcare professionals, and technology enthusiasts in the evolving healthcare delivery of AI-based systems. The contributor's and editors' knowledge provides a valuable resource to help understand how AI-based solutions will improve patient care and inspire the advancements of cutting-edge solutions. This book is edited into three sections, focusing on healthcare systems and AI-based system models. The first section explores the introduction to healthcare systems, focusing on the fundamental role of technology in reshaping the healthcare landscape. This section offers a unique perspective, emphasizing the integration of technology into healthcare ecosystems. The second part takes a deep dive into specific AI-based system model applications. From valuable insights into how AI systems offer valuable insights into the potential impact of patient outcomes, it also delves into topics of machine learning, image analysis, and biomedical text processing. The final section covers the future landscape of AI applications in healthcare practices. This section concludes by exploring the frontiers of AI-driven healthcare innovations and how they will aid the future of healthcare.

Author : Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan
Publisher : CRC Press
Page : 301 pages
File Size : 43,9 Mb
Release : 2024-01-26
Category : Technology & Engineering
ISBN : 9781003825647

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Handbook on Augmenting Telehealth Services by Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan Pdf

Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 49,5 Mb
Release : 2022
Category : Electronic
ISBN : OCLC:1422613875

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Handbook of Artificial Intelligence in Healthcare by Anonim Pdf

Author : Sandeep Reddy
Publisher : CRC Press
Page : 287 pages
File Size : 55,9 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.

Author : Thakare, Anuradha Dheeraj,Wagh, Sanjeev J.,Bhende, Manisha Sunil,Anter, Ahmed M.,Gao, Xiao-Zhi
Publisher : IGI Global
Page : 470 pages
File Size : 55,5 Mb
Release : 2021-10-22
Category : Medical
ISBN : 9781799877103

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Handbook of Research on Applied Intelligence for Health and Clinical Informatics by Thakare, Anuradha Dheeraj,Wagh, Sanjeev J.,Bhende, Manisha Sunil,Anter, Ahmed M.,Gao, Xiao-Zhi Pdf

Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data or medical images and help clinicians to retrieve that information. Decision models aid with making complex decisions especially in uncertain situations. The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.

Author : Abdulhamit Subasi
Publisher : Elsevier
Page : 550 pages
File Size : 51,7 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9780443223099

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Applications of Artificial Intelligence in Healthcare and Biomedicine by Abdulhamit Subasi Pdf

??Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and Biomedicine. In 16 chapters it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR) and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological images and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images. It also presents present 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Applications of Artificial Intelligence in Healthcare and Biomedicine closes with a chapter on AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis. Provides knowledge on Artificial Intelligence algorithms for clinical data analysis Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery Equips researchers with tools for early breast cancer detection

Author : Ankur Saxena,Shivani Chandra
Publisher : Springer Nature
Page : 228 pages
File Size : 40,7 Mb
Release : 2021-05-06
Category : Science
ISBN : 9789811608117

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Artificial Intelligence and Machine Learning in Healthcare by Ankur Saxena,Shivani Chandra Pdf

This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

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.

Author : Tanzila Saba,Amjad Rehman,Sudipta Roy
Publisher : Springer Nature
Page : 515 pages
File Size : 50,7 Mb
Release : 2022-07-06
Category : Technology & Engineering
ISBN : 9789811920578

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Prognostic Models in Healthcare: AI and Statistical Approaches by Tanzila Saba,Amjad Rehman,Sudipta Roy Pdf

This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

Author : A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 41,7 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9781119791799

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Handbook on Intelligent Healthcare Analytics by A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily Pdf

HANDBOOK OF INTELLIGENT HEALTHCARE ANALYTICS The book explores the various recent tools and techniques used for deriving knowledge from healthcare data analytics for researchers and practitioners. The power of healthcare data analytics is being increasingly used in the industry. Advanced analytics techniques are used against large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. A Handbook on Intelligent Healthcare Analytics covers both the theory and application of the tools, techniques, and algorithms for use in big data in healthcare and clinical research. It provides the most recent research findings to derive knowledge using big data analytics, which helps to analyze huge amounts of real-time healthcare data, the analysis of which can provide further insights in terms of procedural, technical, medical, and other types of improvements in healthcare. In addition, the reader will find in this Handbook: Innovative hybrid machine learning and deep learning techniques applied in various healthcare data sets, as well as various kinds of machine learning algorithms existing such as supervised, unsupervised, semi-supervised, reinforcement learning, and guides how readers can implement the Python environment for machine learning; An exploration of predictive analytics in healthcare; The various challenges for smart healthcare, including privacy, confidentiality, authenticity, loss of information, attacks, etc., that create a new burden for providers to maintain compliance with healthcare data security. In addition, this book also explores various sources of personalized healthcare data and the commercial platforms for healthcare data analytics. Audience Healthcare professionals, researchers, and practitioners who wish to figure out the core concepts of smart healthcare applications and the innovative methods and technologies used in healthcare will all benefit from this book.