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Applications Of Artificial Intelligence In Covid 19

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Applications Of Artificial Intelligence In Covid 19

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Author : Sachi Nandan Mohanty
language : en
Publisher: Springer Nature
Release Date : 2021-09-29

Applications Of Artificial Intelligence In Covid 19 written by Sachi Nandan Mohanty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-29 with Medical categories.

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Applications Of Artificial Intelligence In Covid 19

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Author : Sachi Nandan Mohanty
language : en
Publisher:
Release Date : 2021

Applications Of Artificial Intelligence In Covid 19 written by Sachi Nandan Mohanty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Artificial Intelligence Applications In A Pandemic

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Author : Salah-ddine Krit
language : en
Publisher: CRC Press
Release Date : 2022-02-28

Artificial Intelligence Applications In A Pandemic written by Salah-ddine Krit and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-28 with Computers categories.

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we have come across myriad challenges during this pandemic. Scientists and developers are learning and fi nding ways to use artifi cial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on fi nding how AI can be helpful in monitoring situations from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and those involved in managing a global pandemic. Features: • Directs the attention to the smart digital healthcare system in this COVID-19 pandemic • Simulates novel investigations and how they will be beneficial in understanding the pandemic • Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientifi skill gaps • Explains some interesting and diverse types of challenges and data-driven healthcare applications

Current And Future Application Of Artificial Intelligence In Clinical Medicine

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Author : Jie Yang
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-06-01

Current And Future Application Of Artificial Intelligence In Clinical Medicine written by Jie Yang and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-01 with Medical categories.

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.

Artificial Intelligence In Healthcare And Covid 19

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Author : Parag Chatterjee
language : en
Publisher: Elsevier
Release Date : 2023-05-21

Artificial Intelligence In Healthcare And Covid 19 written by Parag Chatterjee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-21 with Computers categories.

Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide). - Discusses the fundamentals and theoretical concepts of applying AI in healthcare pertaining to COVID-19 - Provides a landscape view to the applied aspect of AI in healthcare related COVID-19 through case studies and innovative applications - Discusses key concerns and challenges in the field of AI in eHealth during the pandemic, along with other allied fields like IoT, creating a broad platform of transdisciplinary discussion

Ai And Data Science Applications During Covid 19

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Author : Gopee Mukhopadhyay
language : en
Publisher: Educohack Press
Release Date : 2025-01-03

Ai And Data Science Applications During Covid 19 written by Gopee Mukhopadhyay and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

The illustrations in this book are created by “Team Educohack”. AI and Data Science Applications During COVID-19 explores cutting-edge research on how artificial intelligence (AI) and data science have been used to detect, mitigate, treat, and eliminate COVID-19. This comprehensive guide introduces AI and data science techniques used in COVID-19 research, considering both past and future pandemics, including related Coronavirus variations. We cover a wide range of AI applications in COVID-19 research, such as robotics, machine learning, neural networks, computer vision, expert systems, speech recognition, evolutionary computation, and natural language processing. The book also delves into data science applications, including image analysis, data processing, data privacy, deep learning, medical image processing, data protection, cybersecurity, sorting applications, COVID-19 diagnosis, geoprocessing and tracking, predictive systems, design cognition, mobile technology, and telemedicine solutions. Additionally, we discuss AI-based solutions, innovative treatment methods, and public safety measures. Finally, readers will learn about the applications of Big Data and new data models for mitigating the effects of pandemics.

Applications Of Artificial Intelligence Big Data And Internet Of Things In Sustainable Development

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Author : Sam Goundar
language : en
Publisher: CRC Press
Release Date : 2022-10-19

Applications Of Artificial Intelligence Big Data And Internet Of Things In Sustainable Development written by Sam Goundar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Computers categories.

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Biomedical And Business Applications Using Artificial Neural Networks And Machine Learning

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Author : Segall, Richard S.
language : en
Publisher: IGI Global
Release Date : 2022-01-07

Biomedical And Business Applications Using Artificial Neural Networks And Machine Learning written by Segall, Richard S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-07 with Computers categories.

During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.

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.

Applications Of Artificial Intelligence In Medical Imaging

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Author : Abdulhamit Subasi
language : en
Publisher: Academic Press
Release Date : 2022-11-10

Applications Of Artificial Intelligence In Medical Imaging written by Abdulhamit Subasi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-10 with Science categories.

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound. The book discusses the use of AI for detection of several cancer types, including brain tumor, breast, pancreatic, rectal, lung colon, and skin. In addition, it explains how AI and deep learning techniques can be used to diagnose Alzheimer's, Parkinson's, COVID-19 and mental conditions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about AI and its impact in medical/biomedical image analysis. - Discusses new deep learning algorithms for image analysis and how they are used for medical images - Provides several examples for each imaging technique, along with their application areas so that readers can rely on them as a clinical decision support system - Describes how new AI tools may contribute significantly to the successful enhancement of a single patient's clinical knowledge to improve treatment outcomes

Applications Of Artificial Intelligence In Covid 19

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