Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume V
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Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume V
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Author : Rahul Kashyap
language : en
Publisher: Frontiers Media SA
Release Date : 2025-05-08
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume V written by Rahul Kashyap and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Medical categories.
This Research Topic is the fifth 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 Volume IV: Clinical Application of Artificial Intelligence in Emergency and Critical Care Medicine, Volume IV 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. The Research Topic primarily focuses on the use of artificial intelligence in the diagnosis and treatment of patients in emergency or critical care settings. In particular, a large amount of data are being generated from electronic healthcare records and transcriptome analysis. Novel methods from artificial intelligence can help to address the curse of dimensionality as have been frequently encountered when a large number of variables are being processed with conventional methods. This Research Topic also welcomes submissions of bioinformatic analysis with methods such as deep learning, density estimation, and reinforcement learning. In such a way, these advanced machine learning methods can help to provide novel findings from large dataset, comparing with traditional methods in the context of epidemiology and medical statistics which may fail to provide such novel findings due to their intrinsic limitations. We welcome submissions of Original Research, Review, and Opinions. The subject areas of interest include but are not limited to: • Predictive analytics for risk stratification of emergency and critically ill patients • Individualized treatment strategy for patients with rapidly changing conditions • Sub-phenotypes of heterogenous population in emergency and critical care setting • Bioinformatics analysis with transcriptome to develop individualized management
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iii
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2023-01-27
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iii written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-27 with Medical categories.
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Ii
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-27
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Ii written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-27 with Medical categories.
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iv
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-01-23
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume Iv written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-23 with Medical categories.
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.
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume I
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Author : Zhongheng Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-03
Clinical Application Of Artificial Intelligence In Emergency And Critical Care Medicine Volume I written by Zhongheng Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Medical categories.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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 And Machine Learning In Healthcare
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Author : Ankur Saxena
language : en
Publisher: Springer Nature
Release Date : 2021-05-06
Artificial Intelligence And Machine Learning In Healthcare written by Ankur Saxena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-06 with Science categories.
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.
Nineteenth Annual Symposium On Computer Applications In Medical Care
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Author : Reed M. Gardner
language : en
Publisher:
Release Date : 1995
Nineteenth Annual Symposium On Computer Applications In Medical Care written by Reed M. Gardner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Manual Of Small Animal Emergency And Critical Care Medicine
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Author : Douglass K. Macintire
language : en
Publisher: John Wiley & Sons
Release Date : 2012-05-31
Manual Of Small Animal Emergency And Critical Care Medicine written by Douglass K. Macintire and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-31 with Medical categories.
Manual of Small Animal Emergency and Critical Care Medicine, Second Edition presents essential information on common emergencies in small animals using a concise, practical outline format. Offering a thorough update to this classic reference, the new edition provides new chapters on orthopedic injuries and wound management, significant revisions to the treatment protocols, and expanded toxicology information, as well as new references and drug information. The book retains its logical division into two parts, the first covering initial stabilization and the second offering a systems approach to specific conditions. As in the previous edition, chapters are extensively indexed and cross-referenced to facilitate ease of use in emergency situations. With many formulas, tables, drug dosages, and illustrations, Manual of Small Animal Emergency and Critical Care Medicine is an indispensable, convenient resource for busy emergency clinicians, whether they are new graduates or seasoned professionals.