Download or read book Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence written by Anitha S. Pillai and published by Academic Press. This book was released on 2022-02-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer’s disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer’s Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer’s Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders

Download or read book Computational Intelligence and Deep Learning Methods for Neuro rehabilitation Applications written by D. Jude Hemanth and published by Elsevier. This book was released on 2023-11-17 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. This book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries. Topics also include AI-based video games to improve the brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control. Incorporates artificial intelligence techniques into neuro-rehabilitation and presents novel ideas for this process Provides in-depth case studies and state-of-the-art methods, along with the experimental study Presents a block diagram based complete set-up in each chapter to help in real-time implementation

Download or read book Artificial Intelligence for Neurological Disorders written by Ajith Abraham and published by Academic Press. This book was released on 2022-09-23 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances. Discusses various AI and ML methods to apply for neurological research Explores Deep Learning techniques for brain MRI images Covers AI techniques for the early detection of neurological diseases and seizure prediction Examines cognitive therapies using AI and Deep Learning methods

Download or read book Enabling Technology for Neurodevelopmental Disorders written by Tanu Wadhera and published by Taylor & Francis. This book was released on 2022-04-20 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge volume explores how technological tools can be designed, engineered and implemented to assess and support individuals with neurodevelopmental disorders from diagnosis through to rehabilitation. Tanu Wadhera and Deepti Kakkar and their expert contributors focus on technological tools as equalizers in Neurodevelopmental disorders (NDDs) at every stage, the importance of demand-specific design, and how we can best engineer and deploy both invasive and non-invasive individual-centered approaches that support and connect individuals. Considering the perspectives of patients, clinicians and technologists, it explores key topics including design and evaluation of platforms for tech-tools, automated diagnosis, brain imaging techniques, tech-diagnostic frameworks with AI and machine learning, sensing technology, smart brain prosthetics, gamification, alternative communication devices, and education tools and interactive toys. Outlining future challenges for research, Enabling Technology for Neurodevelopmental Disorders is useful for scholars and professionals in psychology, technology, engineering and medicine concerned with design, development and evaluation of a range of assistive technological tools.

Download or read book Computational Intelligence for Oncology and Neurological Disorders written by Mrutyunjaya Panda and published by CRC Press. This book was released on 2024-07-15 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of computational intelligence-based approaches, such as bio-inspired techniques, and the availability of clinical data from various complex experiments, medical consultants, researchers, neurologists, and oncologists, there is huge scope for CI-based applications in medical oncology and neurological disorders. This book focuses on interdisciplinary research in this field, bringing together medical practitioners dealing with neurological disorders and medical oncology along with CI investigators. The book collects high-quality original contributions, containing the latest developments or applications of practical use and value, presenting interdisciplinary research and review articles in the field of intelligent systems for computational oncology and neurological disorders. Drawing from work across computer science, physics, mathematics, medical science, psychology, cognitive science, oncology, and neurobiology among others, it combines theoretical, applied, computational, experimental, and clinical research. It will be of great interest to any neurology or oncology researchers focused on computational approaches.

Download or read book Data Analysis for Neurodegenerative Disorders written by Deepika Koundal and published by Springer Nature. This book was released on 2023-05-31 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders. This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features: ● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection. ● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders. ● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.

Download or read book Machine Learning and Deep Learning in Neuroimaging Data Analysis written by Anitha S. Pillai and published by CRC Press. This book was released on 2024-02-15 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.

Download or read book Impact of AI and Robotics on the Medical Tourism Industry written by Hassan, Viana and published by IGI Global. This book was released on 2024-03-18 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ancient world, health seekers traversed vast distances to pursue well-being. Fast forward to the 21st century, and the concept of medical tourism has evolved into a global industry worth billions of dollars. The burgeoning demand for quality healthcare has pushed traditional boundaries, necessitating a more sophisticated and interconnected healthcare ecosystem. Integrating Artificial Intelligence (AI) into medical practices empowers individuals to actively manage their health while providing healthcare practitioners with invaluable insights for tailored patient care. Impact of AI and Robotics on the Medical Tourism Industry delves into the transformative impact of AI and robotics on this dynamic sector. It explores how AI can encourage and assist patients in their health plans while augmenting healthcare practitioners' capabilities to utilize specific patient data to offer unique guidance. It dissects real-world examples, such as Cleveland Clinic Abu Dhabi's integration of robotic surgery, showcasing how these technologies revolutionize traditional medical practices.

Download or read book Communication Design and Branding written by Nuno Martins and published by Springer Nature. This book was released on 2023-10-01 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers new empirical findings fostering advances in the areas of communication design and branding, with a special emphasis of interdisciplinary approaches showing how to combine knowledge in those fields to improve businesses in a digital, global world. Gathering original, peer-reviewed contributions written by designers, computer scientists, marketer and product managers, this book provides both the communication and branding communities with a timely snapshot of current strategies and best-practices to improve different kinds of business through design. By highlighting current challenges, it is also intended to inspire and foster collaboration between different groups, in both university and industry.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Download or read book Textbook of Neural Repair and Rehabilitation written by Michael E. Selzer and published by Cambridge University Press. This book was released on 2014 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: In two freestanding volumes, the Textbook of Neural Repair and Rehabilitation provides comprehensive coverage of the science and practice of neurological rehabilitation. Revised throughout, bringing the book fully up to date, this volume, Neural Repair and Plasticity, covers the basic sciences relevant to recovery of function following injury to the nervous system, reviewing anatomical and physiological plasticity in the normal central nervous system, mechanisms of neuronal death, axonal regeneration, stem cell biology, and research strategies targeted at axon regeneration and neuron replacement. New chapters have been added covering pathophysiology and plasticity in cerebral palsy, stem cell therapies for brain disorders and neurotrophin repair of spinal cord damage, along with numerous others. Edited and written by leading international authorities, it is an essential resource for neuroscientists and provides a foundation for the work of clinical rehabilitation professionals.

Download or read book Emerging Technologies for Health and Medicine written by Dac-Nhuong Le and published by John Wiley & Sons. This book was released on 2018-10-02 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing. This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices. This groundbreaking book presents state-of-the-art chapters on many subjects including: A review of the implications of VR and AR healthcare applications A review of current augmenting dental care An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in virtual reality (VR) and other new technologies A review of telemedicine technologies Building empathy in young children using augmented reality AI technologies for mobile health of stroke monitoring & rehabilitation robotics control Mobile doctor brain AI App An artificial intelligence mobile cloud computing tool Development of a robotic teaching aid for disabled children Training system design of lower limb rehabilitation robot based on virtual reality

Download or read book Modern Approaches to Augmentation of Brain Function written by Ioan Opris and published by Springer Nature. This book was released on 2021-08-25 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent advances in neural technology that provide for enhancements for brain function. It addresses a broad range of neural phenomena occurring in the brain circuits involved in perception, cognition, emotion and action, that represent the building blocks of behavior and cognition. Augmentation of brain function can be achieved by using brain implants for recordings, stimulation, or drug delivery. Alternative methods include employing brain-machine interfaces, as well as noninvasive activation of certain brain areas. This volume evaluates existing methods of brain augmentation while discussing the brain circuitry and neuronal mechanisms that make augmentation possible. This volume offers novel insights into brain disorders, and explores new devices for brain repair while also addressing the philosophical and ethical implications of brain augmentation. The information in this book is relevant to researchers in the fields of neuroscience, engineering, and clinical practice. Advance Praise for Modern Approaches to Augmentation of Brain Function: “This impressive book by leading experts in neuroscience and neuroengineering lays out the future of brain augmentation, in which the human mind and machine merge, leading to a rapid exponential growth of the power of humanity.” Ray Kurzweil, best-selling author, inventor, entrepreneur and a recipient of the National Medal of Technology and Innovation (1999), and the Lemelson-MIT Prize (2001) "This book employs a holistic approach in covering the recent advances in the fields of neuroscience, neuroinformatics, neurotechnology and neuro-psycho-pharmacology. Each chapter of the book covers major aspects of modern brain research in connection with the human mind and behavior, and is authored by researchers with unique expertise in their field. " Ioan Dumitrache, Prof. Dr. Eng. Faculty of Computer Science, Polytechnic University of Bucharest, Bucharest, Romania “This book presents compelling perspectives on what interactive neuroscience will look like in the future, delving into the innovatory ideas of a diverse set of neuroscientists, and speculating on the different ways computer chips implanted in the brains of humans can effect intelligence and communication.” György Buzsáki, MD, PhD is the Biggs Professor of Neuroscience, NYU School of Medicine, New York, NY

Download or read book EEG Signal Processing written by Saeid Sanei and published by John Wiley & Sons. This book was released on 2013-05-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

Download or read book Cybernetics Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2021-03-30 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Download or read book Brain Computer Interfacing written by Rajesh P. N. Rao and published by Cambridge University Press. This book was released on 2013-09-30 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include questions and exercises in each chapter and a supporting website.

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.