Machine Learning in Cardiovascular Medicine

Machine Learning in Cardiovascular Medicine
Author: Subhi J. Al'Aref,Gurpreet Singh,Lohendran Baskaran,Dimitri Metaxas
Publsiher: Academic Press
Total Pages: 454
Release: 2020-11-20
ISBN: 0128202742
Category: Medical
Language: EN, FR, DE, ES & NL

Machine Learning in Cardiovascular Medicine 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

Technological Innovations in cardiovascular medicine imaging nanotechnology tissue regeneration genetic engineering deep learning and beyond

Technological Innovations in cardiovascular medicine  imaging  nanotechnology  tissue regeneration  genetic engineering  deep learning and beyond
Author: Yun Fang,Eun Ji Chung,James Dahlman,Princess Imoukhuede,Kuei-Chun Wang,David Wu
Publsiher: Frontiers Media SA
Total Pages: 167
Release: 2022-12-08
ISBN: 2832509061
Category: Medical
Language: EN, FR, DE, ES & NL

Technological Innovations in cardiovascular medicine imaging nanotechnology tissue regeneration genetic engineering deep learning and beyond Book Excerpt:

Machine Learning and Systems Biology in Genomics and Health

Machine Learning and Systems Biology in Genomics and Health
Author: Shailza Singh
Publsiher: Springer Nature
Total Pages: 239
Release: 2022-02-04
ISBN: 9811659931
Category: Science
Language: EN, FR, DE, ES & NL

Machine Learning and Systems Biology in Genomics and Health Book Excerpt:

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Author: Segall, Richard S.,Niu, Gao
Publsiher: IGI Global
Total Pages: 394
Release: 2022-01-07
ISBN: 1799884570
Category: Computers
Language: EN, FR, DE, ES & NL

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning Book Excerpt:

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.

Precision Medicine in Cardiovascular Disease Prevention

Precision Medicine in Cardiovascular Disease Prevention
Author: Seth S. Martin
Publsiher: Springer Nature
Total Pages: 194
Release: 2021-07-07
ISBN: 3030750558
Category: Medical
Language: EN, FR, DE, ES & NL

Precision Medicine in Cardiovascular Disease Prevention Book Excerpt:

This book contains the current knowledge and potential future developments of precision medicine techniques including artificial intelligence, big data, mobile health, digital health and genetic medicine in the prevention of cardiovascular disease. It reviews the presently used advanced precision medicine techniques and fundamental principles that continue to act as guiding forces for many medical professionals in applying precision and preventative medical techniques in their day-to-day practices. Precision Medicine in Cardiovascular Disease Prevention describes current knowledge and potential future developments in this rapidly expanding field. It therefore provides a valuable resource for all practicing and trainee cardiologists looking to develop their knowledge and integrate precision medicine techniques into their practices.

Predicting Heart Failure

Predicting Heart Failure
Author: Kishor Kumar Sadasivuni,Hassen M. Ouakad,Somaya Al-Maadeed,Huseyin C. Yalcin,Issam Bait Bahadur
Publsiher: John Wiley & Sons
Total Pages: 356
Release: 2022-04-04
ISBN: 1119813018
Category: Medical
Language: EN, FR, DE, ES & NL

Predicting Heart Failure Book Excerpt:

PREDICTING HEART FAILURE Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field. Readers will also find: Discussion of the main characteristics of cardiovascular biosensors, along with their open issues for development and application Summary of the difficulties of wireless sensor communication and power transfer, and the utility of artificial intelligence in cardiology Coverage of data mining classification techniques, applied machine learning and advanced methods for estimating HF severity and diagnosing and predicting heart failure Discussion of the risks and issues associated with the remote monitoring system Assessment of the potential applications and future of implantable and wearable devices in heart failure prediction and detection Artificial intelligence in mobile monitoring technologies to provide clinicians with improved treatment options, ultimately easing access to healthcare by all patient populations. Providing the latest research data for the diagnosis and treatment of heart failure, Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods is an excellent resource for nurses, nurse practitioners, physician assistants, medical students, and general practitioners to gain a better understanding of bedside cardiology.

Epigenetics in Cardiovascular Disease

Epigenetics in Cardiovascular Disease
Author: Yvan Devaux,Emma Louise Robinson
Publsiher: Academic Press
Total Pages: 498
Release: 2021-03-06
ISBN: 012822259X
Category: Medical
Language: EN, FR, DE, ES & NL

Epigenetics in Cardiovascular Disease Book Excerpt:

Epigenetics in Cardiovascular Disease, a new volume in the Translational Epigenetics series, offers a comprehensive overview of the epigenetics mechanisms governing cardiovascular disease development, as well as instructions in research methods and guidance in pursing new studies. More than thirty international experts provide an (i) overview of the epigenetics mechanisms and their contribution to cardiovascular disease development, (i) high-throughput methods for RNA profiling including single-cell RNA-seq, (iii) the role of nucleic acid methylation in cardiovascular disease development, (iv) epigenetic actors as biomarkers and drug targets, (v) and the potential of epigenetics to advance personalized medicine. Here, readers will discover strategies to combat research challenges, improve quality of their epigenetic research and reproducibility of their findings. Additionally, discussion of assay and drug development for personalized healthcare pave the way for a new era of understanding in cardiovascular disease. Offers a thorough overview of role of epigenetics mechanisms in cardiovascular disease Includes guidance to improve research plans, experimental protocols design, quality and reproducibility of results in new epigenetics research Explores biomarkers and drug targets of therapeutic potential to advance personalized healthcare Features chapter contributions from a wide range of international researchers in the field

Advances in Molecular Pathology

Advances in Molecular Pathology
Author: Gregory J. Tsongalis
Publsiher: Elsevier Health Sciences
Total Pages: 177
Release: 2022-11-28
ISBN: 0323940404
Category: Medical
Language: EN, FR, DE, ES & NL

Advances in Molecular Pathology Book Excerpt:

Advances in Molecular Pathology reviews the year’s most important findings and updates within the field in order to provide molecular pathologists with the current clinical information they need to improve patient outcomes. A distinguished editorial board, led by Dr. Gregory Tsongalis, identifies key areas of major progress and controversy and invites preeminent specialists to contribute original articles devoted to these topics. These insightful overviews in molecular pathology inform and enhance clinical practice by bringing concepts to a clinical level and exploring their everyday impact on patient care. Provides in-depth, clinical reviews in molecular pathology, providing actionable insights for clinical practice. Presents the latest information in the field under the leadership of an experienced editorial team. Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.

Artificial Intelligence in Cardiothoracic Imaging

Artificial Intelligence in Cardiothoracic Imaging
Author: Carlo N. De Cecco,Marly van Assen,Tim Leiner
Publsiher: Springer Nature
Total Pages: 595
Release: 2022-04-22
ISBN: 3030920879
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Cardiothoracic Imaging 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.

Textbook of Echocardiography

Textbook of Echocardiography
Author: V Amuthan,Satish K Parashar
Publsiher: Jaypee Brothers Medical Publishers
Total Pages: 935
Release: 2022-02-27
ISBN: 9354651534
Category: Medical
Language: EN, FR, DE, ES & NL

Textbook of Echocardiography Book Excerpt:

An echocardiogram uses sound waves to produce images of the heart. This common test allows a doctor to see the heart beating and pumping blood, and subsequently identify heart disease. This book is a complete guide to performing and interpreting an echocardiogram. 56 chapters describe both basic and advanced techniques for diagnosing different heart disorders. The second edition has been fully revised to provide clinicians with the latest developments and techniques in the field. Seven new chapters have been added to this edition covering echocardiography and artificial intelligence, hypertension, arrhythmogenic right ventricular dysplasia, Kawasaki disease, cardio-oncology, diabetes mellitus, and foetal echo. Dedicated chapters emphasise the role of echo in surgical procedures, and explore its use with electrophysiology – in patients with pacemakers and those undergoing cardiac resynchronisation therapy. The book is highly illustrated with many 2D and 3D echo images helping explain the descriptive text for each topic. The previous edition (9789352700929) published in 2017.

Translating Artificial Intelligence Into Clinical Use Within Cardiology

Translating Artificial Intelligence Into Clinical Use Within Cardiology
Author: Paul Leeson,Shane Nanayakkara,Pablo Lamata
Publsiher: Frontiers Media SA
Total Pages: 216
Release: 2022-08-08
ISBN: 2889767353
Category: Medical
Language: EN, FR, DE, ES & NL

Translating Artificial Intelligence Into Clinical Use Within Cardiology Book Excerpt:

Advances in Information and Communication

Advances in Information and Communication
Author: Kohei Arai
Publsiher: Springer Nature
Total Pages: 1110
Release: 2021-04-12
ISBN: 3030731006
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Information and Communication Book Excerpt:

This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies. This book discusses the aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of things, from classical to intelligent scope. The authors hope that readers find the volume interesting and valuable; it gathers chapters addressing state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.

Intelligence Based Medicine

Intelligence Based Medicine
Author: Anthony C. Chang
Publsiher: Academic Press
Total Pages: 534
Release: 2020-06-27
ISBN: 0128233389
Category: Medical
Language: EN, FR, DE, ES & NL

Intelligence Based Medicine Book Excerpt:

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

Advances in Cardiac Imaging and Heart Failure Management

Advances in Cardiac Imaging and Heart Failure Management
Author: Matteo Cameli,Giovanni Benfari,Giulia Elena Mandoli,Andrea Baggiano
Publsiher: Frontiers Media SA
Total Pages: 458
Release: 2022-11-25
ISBN: 2832507204
Category: Medical
Language: EN, FR, DE, ES & NL

Advances in Cardiac Imaging and Heart Failure Management Book Excerpt:

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things
Author: Fadi Al-Turjman,Anand Nayyar
Publsiher: Springer Nature
Total Pages: 267
Release: 2022
ISBN: 3030809285
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Machine Learning for Critical Internet of Medical Things Book Excerpt:

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physicians and doctors medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

Digital Health An Issue of Heart Failure Clinics E Book

Digital Health  An Issue of Heart Failure Clinics  E Book
Author: Ragavendra R. Baliga,Dipti Itchhaporia
Publsiher: Elsevier Health Sciences
Total Pages: 240
Release: 2022-04-05
ISBN: 0323920209
Category: Medical
Language: EN, FR, DE, ES & NL

Digital Health An Issue of Heart Failure Clinics E Book Book Excerpt:

In this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R. Baliga and Dipti Itchhaporia bring their considerable expertise to the topic of Digital Health, sometimes referred to as eHealth. Top experts in the field cover key topics in the field such as using AI to better predict/develop biomarkers; telehealth in heart failure; EHR in heart failure; artificial intelligence and mechanical circulatory support; and more. Contains 11 relevant, practice-oriented topics including devices to improve symptoms and reduce morbidity and mortality in heart failure; utilizing artificial intelligence to enhance equity in minority populations; 3-D printing in heart failure; machine learning in cardiac imaging; and more. Provides in-depth clinical reviews on digital health, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Current and Future Role of Artificial Intelligence in Cardiac Imaging

Current and Future Role of Artificial Intelligence in Cardiac Imaging
Author: Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner
Publsiher: Frontiers Media SA
Total Pages: 138
Release: 2020-10-09
ISBN: 2889660583
Category: Medical
Language: EN, FR, DE, ES & NL

Current and Future Role of Artificial Intelligence in Cardiac Imaging 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.

Modelling Congenital Heart Disease

Modelling Congenital Heart Disease
Author: Gianfranco Butera,Silvia Schievano,Dr. Giovanni Biglino,Doff B. McElhinney
Publsiher: Springer Nature
Total Pages: 292
Release: 2022
ISBN: 3030888924
Category: Bioinformatics
Language: EN, FR, DE, ES & NL

Modelling Congenital Heart Disease Book Excerpt:

This book combines medicinal and engineering knowledge to present engineering modelling applications (mainly computational, but also experimental) in the context of facilitating a patient-centred approach to treating congenital heart disease (CHD). After introducing the basic concepts of engineering tools, it discusses modelling and the applications of engineering techniques (e.g. computational fluid dynamics, fluid-structure interaction, structural simulations, virtual surgery, advanced image analysis, 3D printing) in specific congenital heart diseases. It also offers a number of clinical case studies describing the applications in real-life clinical practice. The final section focuses on the importance of surgical training, counselling and patient communication. Considering the unique anatomical arrangement pre/post repair in CHD, as well as the different surgical strategy and device options (e.g. stents) for interventions, a patient-specific approach is certainly warranted in this area of medicine, and engineering is helping improve our understanding of individual patients and their particular anatomy and physiology. To reinforce the idea of a necessary dialogue between engineers and clinicians, this book has not only been edited by two cardiologists and two bioengineers, but each chapter has been written by a clinician and an engineer, incorporating both voices in the description of state-of-the-art models for different CHDs.

Advances in Cardiovascular Technology

Advances in Cardiovascular Technology
Author: Jamshid H. Karimov,Kiyotaka Fukamachi,Marc Gillinov
Publsiher: Academic Press
Total Pages: 699
Release: 2022
ISBN: 0128168625
Category: Medical
Language: EN, FR, DE, ES & NL

Advances in Cardiovascular Technology Book Excerpt:

Advances in Cardiovascular Technology: New Devices and Concepts is a comprehensive reference for cardiovascular devices of all types. For engineers, this book provides a basic understanding of underlying pathologies and their prevalence/incidence. It also covers what devices are available, how they are clinically used, and their impact on pathophysiology. In addition, the book presents the constraints imposed on device design and manufacture by the environment in which it is used (e.g., exposure to tissues within the body, blood in particular) and the primary requirements for each specific type of device, including its durability and resistance to fatigue. For clinicians, this book contains information on primary engineering challenges, the types of devices available, their advantages and disadvantages, and the (current and emerging) tools and materials available to device designers. Covers innovative procedures and devices in cardiovascular technology Gives an overview of the state-of-the-art technology and a view to the future Features contributions from engineers, clinicians and researchers, taking an interdisciplinary view of the field

Healthcare Information Technology for Cardiovascular Medicine

Healthcare Information Technology for Cardiovascular Medicine
Author: Ami B. Bhatt
Publsiher: Springer Nature
Total Pages: 150
Release: 2021-10-04
ISBN: 3030810305
Category: Medical
Language: EN, FR, DE, ES & NL

Healthcare Information Technology for Cardiovascular Medicine Book Excerpt:

This unique book comprehensively reviews how information technology is changing cardiovascular medical practice. Chapters include a wide range of topics from specific technologies and virtual care education to large system implementation. Extensive illustrative material and specific case studies are included throughout to reinforce key concepts and enable the reader to develop an understanding of how information technology is impacting medical practice. Health equity, medicolegal ethics, and regulatory considerations are also covered. Healthcare Information Technology for Cardiovascular Medicine: Telemedicine & Digital Health provides a foundation for better understanding how these technologies impact cardiovascular care delivery. Its comprehensive analysis enables healthcare providers and other stakeholders to enhance clinical practice through digital health implementation.