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Artificial Intelligence in Cardiothoracic Imaging

2022-04-22 Medical
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Release : 2022-04-22
Genre : Medical
Kind : eBook
Book Rating : 879/5 ( reviews)

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Book Synopsis Artificial Intelligence in Cardiothoracic Imaging by : Carlo N. De Cecco

Download or read book Artificial Intelligence in Cardiothoracic Imaging written by Carlo N. De Cecco. This book was released on 2022-04-22. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients. This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

Current and Future Role of Artificial Intelligence in Cardiac Imaging

2020-10-09 Medical
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Release : 2020-10-09
Genre : Medical
Kind : eBook
Book Rating : 583/5 ( reviews)

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Book Synopsis Current and Future Role of Artificial Intelligence in Cardiac Imaging by : Steffen Erhard Petersen

Download or read book Current and Future Role of Artificial Intelligence in Cardiac Imaging written by Steffen Erhard Petersen. This book was released on 2020-10-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Deep Learning Applications in Medical Imaging

2020-10-16 Medical
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Release : 2020-10-16
Genre : Medical
Kind : eBook
Book Rating : 722/5 ( reviews)

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Book Synopsis Deep Learning Applications in Medical Imaging by : Saxena, Sanjay

Download or read book Deep Learning Applications in Medical Imaging written by Saxena, Sanjay. This book was released on 2020-10-16. Available in PDF, EPUB and Kindle. Book excerpt: Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare. Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis. While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care. This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.

Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II

2023-10-30 Medical
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Release : 2023-10-30
Genre : Medical
Kind : eBook
Book Rating : 46X/5 ( reviews)

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Book Synopsis Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II by : Steffen Erhard Petersen

Download or read book Current and Future Role of Artificial Intelligence in Cardiac Imaging, Volume II written by Steffen Erhard Petersen. This book was released on 2023-10-30. Available in PDF, EPUB and Kindle. Book excerpt: 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

2020-11-20 Science
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Release : 2020-11-20
Genre : Science
Kind : eBook
Book Rating : 742/5 ( reviews)

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Book Synopsis Machine Learning in Cardiovascular Medicine by : Subhi J. Al'Aref

Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref. This book was released on 2020-11-20. Available in PDF, EPUB and Kindle. Book excerpt: 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

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