Image Based Computational Approaches For Personalized Cardiovascular Medicine Improving Clinical Applicability And Reliability Through Medical Imaging And Experimental Data
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Image Based Computational Approaches For Personalized Cardiovascular Medicine Improving Clinical Applicability And Reliability Through Medical Imaging And Experimental Data
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Author : Selene Pirola
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-13
Image Based Computational Approaches For Personalized Cardiovascular Medicine Improving Clinical Applicability And Reliability Through Medical Imaging And Experimental Data written by Selene Pirola 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 2023-07-13 with Science 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
Precision Medicine And Artificial Intelligence
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Author : Michael Mahler
language : en
Publisher: Elsevier
Release Date : 2021-03-17
Precision Medicine And Artificial Intelligence written by Michael Mahler and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Medical categories.
Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine
Predictive Intelligence In Biomedical And Health Informatics
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Author : Rajshree Srivastava
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-10-12
Predictive Intelligence In Biomedical And Health Informatics written by Rajshree Srivastava and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Computers categories.
Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
Medical Image Processing
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Author : Geoff Dougherty
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-25
Medical Image Processing written by Geoff Dougherty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-25 with Technology & Engineering categories.
The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.
Artificial Intelligence In Medical Imaging
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Author : Erik R. Ranschaert
language : en
Publisher: Springer
Release Date : 2019-01-29
Artificial Intelligence In Medical Imaging written by Erik R. Ranschaert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Medical categories.
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implicationsfor radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Levitt And Tapley S Technological Basis Of Radiation Therapy
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Author : Seymour H. Levitt
language : en
Publisher: Lea & Febiger
Release Date : 1992
Levitt And Tapley S Technological Basis Of Radiation Therapy written by Seymour H. Levitt and has been published by Lea & Febiger this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Medical categories.
Registries For Evaluating Patient Outcomes
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Author : Richard E. Gliklich
language : en
Publisher:
Release Date : 2014
Registries For Evaluating Patient Outcomes written by Richard E. Gliklich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Diseases categories.
Evolution Of Translational Omics
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2012-09-13
Evolution Of Translational Omics written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Science categories.
Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.
Image Based Computational And Experimental Biomedical Flows
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Author : Huidan (Whitney) Yu
language : en
Publisher:
Release Date : 2024-11-19
Image Based Computational And Experimental Biomedical Flows written by Huidan (Whitney) Yu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Technology & Engineering categories.
This reprint aims to engage readers with the latest advancements in computational modeling and experimental measurement for quantifying hemodynamics in human vascular systems, derived from medical imaging data. The key topics include patient-specific blood flow modeling in arteries, intracranial aneurysms, and coronary stents. Cutting-edge techniques such as computational fluid dynamics (CFD), the lattice Boltzmann method, and innovative experimental setups such as mock circulation loops are highlighted, providing valuable insights into enhancing diagnostic accuracy and advancing personalized treatment strategies for cardiovascular diseases. A significant portion of this Special Issue is devoted to aneurysm studies, examining flow behaviors, wall stresses, and the impact of flow diverters on patient outcomes. Additionally, the reprint addresses cardiac function, myocardial ischemia, and coronary interventions, offering notable advancements in both computational modeling and experimental validation. Together, the research presented in this collection represents a major step forward in cardiovascular disease management, driven by precise simulations and patient-specific approaches.