Artificial Intelligence In Heart Modelling
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Artificial Intelligence For Computational Modeling Of The Heart
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Author : Tommaso Mansi
language : en
Publisher: Academic Press
Release Date : 2019-11-25
Artificial Intelligence For Computational Modeling Of The Heart written by Tommaso Mansi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Science categories.
Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications. - Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications - Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data - Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Artificial Intelligence In Heart Modelling
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Author : Rafael Sebastian
language : en
Publisher: Frontiers Media SA
Release Date : 2022-05-11
Artificial Intelligence In Heart Modelling written by Rafael Sebastian 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 2022-05-11 with Science categories.
Applications Of Machine Learning
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Author : Prashant Johri
language : en
Publisher: Springer Nature
Release Date : 2020-05-04
Applications Of Machine Learning written by Prashant Johri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-04 with Technology & Engineering categories.
This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.
Current And Future Role Of Artificial Intelligence In Cardiac Imaging
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Author : Steffen Erhard Petersen
language : en
Publisher: Frontiers Media SA
Release Date : 2020-10-09
Current And Future Role Of Artificial Intelligence In Cardiac Imaging written by Steffen Erhard Petersen 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 2020-10-09 with Medical categories.
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.
Artificial Intelligence For Computational Modeling Of The Heart
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Author : Tommaso Mansi
language : en
Publisher: Academic Press
Release Date : 2019-11-28
Artificial Intelligence For Computational Modeling Of The Heart written by Tommaso Mansi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Science categories.
Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.
Modelling Congenital Heart Disease
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Author : Gianfranco Butera
language : en
Publisher: Springer Nature
Release Date : 2022-04-22
Modelling Congenital Heart Disease written by Gianfranco Butera and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with Medical categories.
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 clinicians and engineers, 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.
Algorithms In Advanced Artificial Intelligence
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Author : R. N. V. Jagan Mohan
language : en
Publisher: CRC Press
Release Date : 2025-05-23
Algorithms In Advanced Artificial Intelligence written by R. N. V. Jagan Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide “paranormal solutions” to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.
Engineering Applications Of Artificial Intelligence
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Author : Aziza Chakir
language : en
Publisher: Springer Nature
Release Date : 2024-02-19
Engineering Applications Of Artificial Intelligence written by Aziza Chakir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Computers categories.
Making intelligent devices and systems is the science and engineering of artificial intelligence (AI). In order to solve many of the most difficult problems in computer science, this important multidisciplinary discipline plays a crucial role in the field of technology nowadays. The book also addresses the topic of machine learning because it is closely related to AI. By no means is the list of subjects below intended to be comprehensive. The main objective of this book is to provide researchers, scientists, business professionals, and academics insight into original theories and research findings on the use of human cognitive models in diverse real-world computing applications. Through this book, the authors built an interdisciplinary forum where researchers from many fields may share their work and explore how to engineer human brain processes, learning mechanisms, and decision-making processes.
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models
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Author : Jorge Garza Ulloa
language : en
Publisher: Elsevier
Release Date : 2021-11-30
Applied Biomedical Engineering Using Artificial Intelligence And Cognitive Models written by Jorge Garza Ulloa and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-30 with Science categories.
Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. - Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems - Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems - Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others - Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients
Recent Trends And Advances In Artificial Intelligence
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Author : Fausto P. Garcia
language : en
Publisher: Springer Nature
Release Date : 2024-11-21
Recent Trends And Advances In Artificial Intelligence written by Fausto P. Garcia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with Computers categories.
This book presents a curated selection of papers from the International Conference on Advanced Engineering, Technology, and Applications (ICAETA24), hosted by the University of Catania, Italy, in March 2024. The conference is co-organized by Istinye University, Turkey. The book delves into the forefront of technological advancements, spotlighting the latest trends and applications of artificial intelligence across diverse domains and addressing real-world challenges with transformative solutions. Readers will gain insights into state-of-the-art models and methodologies, particularly focusing on their applications on benchmark datasets. The discussions and presentations within this volume are organized around four pivotal tracks: Artificial Intelligence and Machine Learning, Big Data and Cloud Computing, Internet of Things and Sensor Technology, and Applications of Artificial Intelligence. Each track offers a deep dive into its respective domain, exploring the profound impact of technological innovations on various industries and sectors.