Advances And Applications Of Artificial Intelligence And Numerical Simulation In Risk Emergency Management And Treatment Volume Ii

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Advances and Applications of Artificial Intelligence and Numerical Simulation in Risk Emergency Management and Treatment, volume II

Author : Yunhui Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2832554253
Total Pages : 178 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances and Applications of Artificial Intelligence and Numerical Simulation in Risk Emergency Management and Treatment, volume II by : Yunhui Zhang

Download or read book Advances and Applications of Artificial Intelligence and Numerical Simulation in Risk Emergency Management and Treatment, volume II written by Yunhui Zhang and published by Frontiers Media SA. This book was released on 2024-09-13 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is Volume II of a series. The previous volume can be found here: Advances and Applications of Artificial Intelligence and Numerical Simulation in Risk Emergency Management and Treatment Our world is composed of multidimensional and multifaceted risks. In general, geological, environmental, and ecological risks would exist in both natural and engineering situations, such as karst desertification, water inrush, rock burst, debris flow, and landslide. These risks have great safety threats to human survival. In this regard, risk emergency management and treatment (REMT) has become a pivotal topic addressing the national governance system and its governance capacity. It underlines how to prevent and resolve grand security risks, to timely respond to all kinds of disasters and accidents, as well as to safeguard people’s lives and property and social stability.

Advances and applications of artificial intelligence and numerical simulation in risk emergency management and treatment

Author : Yunhui Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2832529925
Total Pages : 291 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances and applications of artificial intelligence and numerical simulation in risk emergency management and treatment by : Yunhui Zhang

Download or read book Advances and applications of artificial intelligence and numerical simulation in risk emergency management and treatment written by Yunhui Zhang and published by Frontiers Media SA. This book was released on 2023-07-24 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predicting Natural Disasters With AI and Machine Learning

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Predicting Natural Disasters With AI and Machine Learning by : Satishkumar, D.

Download or read book Predicting Natural Disasters With AI and Machine Learning written by Satishkumar, D. and published by IGI Global. This book was released on 2024-02-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML). This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management. This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.

Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume IV

Author : Zhongheng Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2832543375
Total Pages : 192 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume IV by : Zhongheng Zhang

Download or read book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume IV written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2024-01-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is the fourth volume of the series Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine Volume I: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I Volume II:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II Volume III:Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume III Analytics based on artificial intelligence has greatly advanced scientific research fields like natural language processing and imaging classification. Clinical research has also greatly benefited from artificial intelligence. Emergency and critical care physicians face patients with rapidly changing conditions, which require accurate risk stratification and initiation of rescue therapy. Furthermore, critically ill patients, such as those with sepsis, acute respiratory distress syndrome, and trauma, are comprised of heterogeneous population. The “one-size-fit-all” paradigm may not fit for the management of such heterogeneous patient population. Thus, artificial intelligence can be employed to identify novel subphenotypes of these patients. These sub classifications can provide not only prognostic value for risk stratification but also predictive value for individualized treatment. With the development of transcriptome providing a large amount of information for an individual, artificial intelligence can greatly help to identify useful information from high dimensional data. Altogether, it is of great importance to further utilize artificial intelligence in the management of critically ill patients.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II

Author : Zhongheng Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2889762610
Total Pages : 197 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II by : Zhongheng Zhang

Download or read book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume II written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2022-05-27 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Artificial Intelligence in Healthcare

Author : Chee-Peng Lim
Publisher : Springer Nature
ISBN 13 : 3030791610
Total Pages : 463 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Handbook of Artificial Intelligence in Healthcare by : Chee-Peng Lim

Download or read book Handbook of Artificial Intelligence in Healthcare written by Chee-Peng Lim and published by Springer Nature. This book was released on 2021-09-17 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Systems for Emergency Management

Author : Bartel Van De Walle
Publisher : Routledge
ISBN 13 : 1317467957
Total Pages : 493 pages
Book Rating : 4.3/5 (174 download)

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Book Synopsis Information Systems for Emergency Management by : Bartel Van De Walle

Download or read book Information Systems for Emergency Management written by Bartel Van De Walle and published by Routledge. This book was released on 2014-12-18 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most current and comprehensive overview available today of the critical role of information systems in emergency response and preparedness. It includes contributions from leading scholars, practitioners, and industry researchers, and covers all phases of disaster management - mitigation, preparedness, response, and recovery. 'Foundational' chapters provide a design framework and review ethical issues. 'Context' chapters describe the characteristics of individuals and organizations in which EMIS are designed and studied. 'Case Study' chapters include systems for distributed microbiology laboratory diagnostics to detect possible epidemics or bioterrorism, humanitarian MIS, and response coordination systems. 'Systems Design and Technology' chapters cover simulation, geocollaborative systems, global disaster impact analysis, and environmental risk analysis. Throughout the book, the editors and contributors give special emphasis to the importance of assessing the practical usefulness of new information systems for supporting emergency preparedness and response, rather than drawing conclusions from a theoretical understanding of the potential benefits of new technologies.

Advances in Artificial Systems for Medicine and Education II

Author : Zhengbing Hu
Publisher : Springer
ISBN 13 : 3030120821
Total Pages : 787 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Artificial Systems for Medicine and Education II by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education II written by Zhengbing Hu and published by Springer. This book was released on 2019-05-16 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Second International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, on 6–8 October 2018. The conference covered advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. The papers presented in the book discuss topics in mathematics and biomathematics; medical approaches; and technological and educational approaches. Given the rapid development of artificial intelligence systems, the book highlights the need for more intensive training for a growing number of specialists, particularly in medical engineering, to increase the effectiveness of medical diagnosis and treatment. The book is intended for specialists, students and other readers who would like to know where artificial intelligence systems can beneficially be applied in the future.

Handbook of Artificial Intelligence in Healthcare

Author : Chee-Peng Lim
Publisher : Springer
ISBN 13 : 9783030836221
Total Pages : 0 pages
Book Rating : 4.8/5 (362 download)

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Book Synopsis Handbook of Artificial Intelligence in Healthcare by : Chee-Peng Lim

Download or read book Handbook of Artificial Intelligence in Healthcare written by Chee-Peng Lim and published by Springer. This book was released on 2022-11-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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..

Data Science for COVID-19

Author : Utku Kose
Publisher : Academic Press
ISBN 13 : 0323907709
Total Pages : 812 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Data Science for COVID-19 by : Utku Kose

Download or read book Data Science for COVID-19 written by Utku Kose and published by Academic Press. This book was released on 2021-10-22 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics

Advances in Artificial Systems for Medicine and Education V

Author : Zhengbing Hu
Publisher : Springer Nature
ISBN 13 : 3030925374
Total Pages : 566 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advances in Artificial Systems for Medicine and Education V by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education V written by Zhengbing Hu and published by Springer Nature. This book was released on 2022-01-01 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book broadly covers a scope of the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fifth International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2021), which took place at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1–3 October 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavour to reproduce the innate intellectual abilities of humans and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of cutting-edge research papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students who are interested in artificial intelligence, bioinformatics systems, also their expanding applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering

Author : Sisodia, Dilip Singh
Publisher : IGI Global
ISBN 13 : 1799821226
Total Pages : 420 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering by : Sisodia, Dilip Singh

Download or read book Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering written by Sisodia, Dilip Singh and published by IGI Global. This book was released on 2020-02-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I

Author : Zhongheng Zhang
Publisher : Frontiers Media SA
ISBN 13 : 2889742741
Total Pages : 192 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I by : Zhongheng Zhang

Download or read book Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume I written by Zhongheng Zhang and published by Frontiers Media SA. This book was released on 2022-02-03 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Artificial Systems for Medicine and Education IV

Author : Zhengbing Hu
Publisher : Springer Nature
ISBN 13 : 303067133X
Total Pages : 414 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advances in Artificial Systems for Medicine and Education IV by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education IV written by Zhengbing Hu and published by Springer Nature. This book was released on 2021-01-29 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fourth International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2020), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, in 3–4 October 2020. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that is relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications. Intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Approaches and Applications of Deep Learning in Virtual Medical Care

Author : Zaman, Noor
Publisher : IGI Global
ISBN 13 : 1799889300
Total Pages : 293 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Approaches and Applications of Deep Learning in Virtual Medical Care by : Zaman, Noor

Download or read book Approaches and Applications of Deep Learning in Virtual Medical Care written by Zaman, Noor and published by IGI Global. This book was released on 2022-02-25 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.

Artificial Intelligence in Healthcare and Medicine

Author : Kayvan Najarian
Publisher : CRC Press
ISBN 13 : 1000565815
Total Pages : 300 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence in Healthcare and Medicine by : Kayvan Najarian

Download or read book Artificial Intelligence in Healthcare and Medicine written by Kayvan Najarian and published by CRC Press. This book was released on 2022-04-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.