Current and Future Role of Artificial Intelligence in Cardiac Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Current and Future Role of Artificial Intelligence in Cardiac Imaging write by Steffen Erhard Petersen. This book was released on 2020-10-09. Current and Future Role of Artificial Intelligence in Cardiac Imaging available in PDF, EPUB and Kindle. This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II
Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II write by Steffen Erhard Petersen. This book was released on 2023-10-30. Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II available in PDF, EPUB and Kindle. Our first Research Topic entitled “Current and Future Role of Artificial Intelligence in Cardiac Imaging” provided comprehensive reviews of the recent advances and potential impact of AI for a range of cardiac imaging applications and remains available as an e-book to download at no cost. Since this first set of publications, the field has moved at pace and it is timely to now invite further up-to-date and topical reviews but importantly original research articles via our Research Topic “Current and Future Role of Artificial Intelligence in Cardiac Imaging 2.0”.
Machine Learning in Cardiovascular Medicine
Machine Learning in Cardiovascular Medicine - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning in Cardiovascular Medicine write by Subhi J. Al'Aref, M.D.. This book was released on 2020-12-11. Machine Learning in Cardiovascular Medicine available in PDF, EPUB and Kindle. Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach
Artificial Intelligence in Medical Imaging
Artificial Intelligence in Medical Imaging - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence in Medical Imaging write by Erik R. Ranschaert. This book was released on 2019-01-29. Artificial Intelligence in Medical Imaging available in PDF, EPUB and Kindle. 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 implications for 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.
Medical Imaging Informatics
Medical Imaging Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Medical Imaging Informatics write by Alex A.T. Bui. This book was released on 2009-12-01. Medical Imaging Informatics available in PDF, EPUB and Kindle. Medical Imaging Informatics provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine. Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research. Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. Medical Imaging Informatics identifies core concepts within the field, explores research challenges that drive development, and includes current state-of-the-art methods and strategies.
