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(R) and IBM Watson(R).
Автор: Rajabzadeh, Amin Reza Название: Magnetic Quantum Dots for Bioimaging ISBN: 1032321466 ISBN-13(EAN): 9781032321462 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lai-Kwan, Chau Название: From Bioimaging to Biosensors ISBN: 9814267244 ISBN-13(EAN): 9789814267243 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook provides a truly unique introduction that integrates the concepts and methods of optics, molecular and cellular biology, image analysis, and bioengineering. The coverage spans from essential aspects of molecular and cellular biology to a detailed treatment of practical aspects.
Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.
Описание: This book emphasizes the latest developments and achievements in artificial intelligence and related technologies, focusing on the applications of artificial intelligence and medical diagnosis. The book describes the theory, applications, concept visualization, and critical surveys covering most aspects of AI for medical informatics.
Описание: This book explores new horizons in biomedical imaging and sensing technologies, from the molecular level to the human brain. It provides the most up-to-date information on new medical imaging techniques, such as the detection and imaging of cancer and brain diseases.
Автор: Ober, Raimund J. , Ward, Sally , Chao, Yen-Ching Название: Quantitative Bioimaging ISBN: 1138598984 ISBN-13(EAN): 9781138598980 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Поставка под заказ.
Описание: This textbook provides a truly unique introduction that integrates the concepts and methods of optics, molecular and cellular biology, image analysis, and bioengineering. The coverage spans from essential aspects of molecular and cellular biology to a detailed treatment of practical aspects.
Описание: This book describes the rational design, development and application of nucleic acid amplification strategies for biosensing, bioimaging and biomedicine. It consists of fifteen chapters demonstrating the use of these strategies in various areas, including fluorescence techniques, Chemiluminescence biosensors, electrochemiluminescence biosensors, colorimetric assays, surface plasmon resonance technologies, electrochemical DNA sensors, photoelectrochemical biosensor, nanopore sensors, quartz crystal microbalance, fluorescence imaging, surface-enhanced Raman spectroscopy, in vitro and in vivo metal ions detection, theranostics and microdroplet chips. Offering a collection of reviews illustrating the latest advances in biochemical analysis and therapeutics, the book shares valuable insights into current challenges and future prospects, making it a valuable resource for a wide readership in the various fields of biosensing, bioimaging and biomedicine.
Описание: This book provides a perspective on the current status of bioimaging technologies developed to assess the quality of musculoskeletal tissue with an emphasis on bone and cartilage. It offers evaluations of scaffold biomaterials developed for enhancing the repair of musculoskeletal tissues.
Автор: Mario Stefanelli; Arie Hasman; Marius Fieschi; Jan Название: AIME 91 ISBN: 3540541446 ISBN-13(EAN): 9783540541448 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains 26 papers describing research in the do-main of Artificial Intelligence in Medicine. The papers aregrouped around the following themes: Methodology, knowledgerepresentation, clinical applications, modelling, uncertain-ty management, knowledge acquisition, and the user perspec-tive.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
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