Download or read book AI and Neuro Degenerative Diseases written by Loveleen Gaur and published by Springer Nature. This book was released on with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Application of Artificial Intelligence in Neurological Disorders written by Mullaicharam Bhupathyraaj and published by Springer Nature. This book was released on with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 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 Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases written by Rodriguez, Raul Villamarin and published by IGI Global. This book was released on 2024-02-14 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.

Download or read book Application of Artificial Intelligence in Neurological Disorders written by Mullaicharam Bhupathyraaj and published by Springer. This book was released on 2024-07-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the role of artificial intelligence in neurological disorders, including, alleviating movement disorders, psychiatric disorders, diagnosis of neurological and neurodegenerative disorders, dementia, neuronal cancer, neuronal Infections, and brain diseases. It explores applications of artificial intelligence in the early diagnosis, prognosis, and development of new therapies against neurodegenerative disorders. This book also provides cutting-edge research using AI for studying neuroimage analysis, toward the discovery of new biological pathways and systems implicated in dementia and related diseases. It also reviews AI-based interventions in depression research and treatment. The chapter also examines the potential benefits of using AI to help manage depression, from improved access to coordinated care. This book is an essential source for students, researchers, academicians, and neurologists aiming to understand AI-based approaches for the diagnosis, treatment, and prevention of neurological disorders.

Download or read book Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning written by Rani, Geeta and published by IGI Global. This book was released on 2020-10-16 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

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 AI Driven Alzheimer s Disease Detection and Prediction written by Lilhore, Umesh Kumar and published by IGI Global. This book was released on 2024-08-09 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.

Download or read book Handbook of Decision Support Systems for Neurological Disorders written by Hemanth D. Jude and published by Academic Press. This book was released on 2021-03-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson’s and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer’s disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders

Download or read book Intelligent Technologies and Parkinson s Disease Prediction and Diagnosis written by Kumar, Abhishek and published by IGI Global. This book was released on 2024-02-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to Parkinson's disease, one of the most important issues revolves around early detection and accurate diagnosis. The intricacies of this neurodegenerative disorder often elude timely identification, leaving patients and healthcare providers grappling with its progressive symptoms. Ethical concerns surrounding the use of machine learning to aid in diagnosis further complicate this challenge. This issue is particularly significant for research scholars, PhD fellows, post-doc fellows, and medical and biomedical scholars seeking to unravel the mysteries of Parkinson's disease and develop more effective treatments. Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.

Download or read book Artificial Intelligence and Alzheimer s Disease written by KHRITISH SWARGIARY and published by ERA, US. This book was released on 2024-08-01 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of medical research and technological innovation, few challenges are as profound and pressing as the quest to understand and combat Alzheimer’s Disease. This neurodegenerative disorder, characterized by progressive memory loss and cognitive decline, affects millions of individuals worldwide and poses significant challenges for patients, families, and healthcare systems alike. The search for effective diagnostic tools, prognostic indicators, and therapeutic interventions remains a critical area of scientific inquiry. The emergence of Artificial Intelligence (AI) has heralded a new era of possibilities in healthcare, offering transformative potential for the study and treatment of Alzheimer’s Disease. By leveraging advanced computational techniques, machine learning algorithms, and data analytics, AI holds the promise of revolutionizing our approach to understanding the complexities of this disease. From early diagnosis to personalized treatment and patient monitoring, AI's applications in Alzheimer’s research and care are rapidly expanding, presenting both opportunities and challenges that warrant thorough exploration. This book aims to provide a comprehensive overview of the intersection between AI and Alzheimer’s Disease. It is designed to serve as a valuable resource for researchers, clinicians, policymakers, and students who are engaged in the fields of neurology, artificial intelligence, and healthcare technology. Through a detailed examination of current advancements, practical applications, and future directions, this work seeks to illuminate the transformative impact of AI on Alzheimer’s research and patient care.

Download or read book Uncertainty aware Ensembling in Multi modal AI and Its Applications in Digital Health for Neurodegenerative Disorders written by Utkarsh Sarawgi and published by . This book was released on 2021 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Common neurodegenerative disorders such as Alzheimer's dementia and Parkinson's disease are increasingly recognised as leading causes of death and disability with debilitating symptoms such as progressive cognitive decline, communication breakdown, motor dysfunction and accompanying psychiatric disorders. However, factors such as unavailability of efficient and cost-effective assessments for conclusive diagnosis, time-consuming test protocols, poor prognostic capabilities, and inadequate treatment options with accompanying side effects are all barriers to progress in providing faster and more effective intervention to individuals living with these life-altering disorders. In this thesis, we take a step towards using digital health and machine learning to improve diagnostic and prognostic capabilities and to address remote care via telemedicine in Alzheimer's dementia and Parkinson's disease. Our goal is to provide more cost-effective, non-invasive, and scalable technologies for risk stratification of Alzheimer's dementia using speech. We also aim to monitor drug response and disease progression for Parkinson's disease via telemedicine, allowing real time symptom tracking through wearables alongside a patient's treatment status, which will help facilitate remote care and dynamic and adaptive treatment plans. In addition to addressing the challenges in diagnosis and treatment of neurodegenerative disorders, we further propose a novel uncertainty aware boosting technique for multi-modal ensembling and evaluate it on healthcare tasks related to Alzheimer's dementia and Parkinson's disease. This presents manifold benefits, such as reducing the overall entropy of the system, making it more robust to heteroscedasticity, and improving calibration of each of the modalities along with high quality prediction intervals.

Download or read book Neuropathology of Neurodegenerative Diseases written by Gabor G. Kovacs and published by Cambridge University Press. This book was released on 2017-12-13 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide to the diagnosis of neurodegenerative diseases discusses modern molecular techniques, morphological classification, fundamentals of clinical symptomology, diagnostic pitfalls and immunostaining protocols. It is based on the proteinopathy concept of neurodegenerative disease, which has influenced classification and provides new strategies for therapy. Numerous high-quality images, including histopathology photomicrographs and neuroradiology scans, accompany the description of morphologic alterations and interpretation of immunoreactivities. Diagnostic methods and criteria are placed within recent developments in neuropathology, including the now widespread application of immunohistochemistry. To aid daily practice, the guide includes diagnostic algorithms and offers personal insights from experienced experts in the field. Special focus is given to the way brain tissue should be handled during diagnosis. This is a must-have reference for medical specialists and specialist medical trainees in the fields of pathology, neuropathology and neurology working with neuropathologic features of neurodegenerative diseases.

Download or read book Neurodegenerative Diseases and Metal Ions written by Astrid Sigel and published by John Wiley & Sons. This book was released on 2006-07-11 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Series... Metal Ions in Life Sciences links coordination chemistry and biochemistry in their widest sense and thus increases our understanding of the relationship between the chemistry of metals and life processes. The series reflects the interdisciplinary nature of Biological Inorganic Chemistry and coordinates the efforts of scientists in fields like biochemistry, inorganic chemistry, coordination chemistry, molecular and structural biology, enzymology, environmental chemistry, physiology, toxicology, biophysics, pharmacy, and medicine. Consequently, the volumes are an essential source for researchers active in these and related fields as well as teachers preparing courses, e.g., in Bioinorganic Chemistry. About this Book... Volume 1, devoted solely to the vital research area concerning the role of metal ions in neurodegenerative diseases, offers in 15 stimulating chapters an authoritative and timely view of this fascinating subject. Written by 41 internationally recognized experts, Neurodegenerative Diseases and Metal Ions highlights, supported by 130 illustrations, the recent progress made in understanding the role metal ions play in diseases like transmissible spongiform encephalopathies (Creutzfeldt-Jakob and related diseases), Alzheimer's, Parkinson's, Huntington's, Wilson's and Menkes' diseases, as well as in familial amyotrophic lateral sclerosis and others. The interplay between metal ions, catecholamines and the formation of reactive oxygen species resulting in oxidative stress is considered, as is the metalloneurochemistry of zinc and the neurotoxicity of aluminum, cadmium, lead, and mercury. The need for novel drugs which manipulate metal-centered neuropathology is emphasized.

Download or read book Biometals in Neurodegenerative Diseases written by Anthony R. White and published by Academic Press. This book was released on 2017-04-28 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biometals in Neurodegenerative Diseases: Mechanisms and Therapeutics is an authoritative and timely resource bringing together the major findings in the field for ease of access to those working in the field or with an interest in metals and their role in brain function, disease, and as therapeutic targets. Chapters cover metals in Alzheimer’s Disease, Parkinson’s Disease, Motor Neuron Disease, Autism and lysosomal storage disorders. This book is written for academic researchers, clinicians and advanced graduate students studying or treating patients in neurodegeneration, neurochemistry, neurology and neurotoxicology. The scientific literature in this field is advancing rapidly, with approximately 300 publications per year adding to our knowledge of how biometals contribute to neurodegenerative diseases. Despite this rapid increase in our understanding of biometals in brain disease, the fields of biomedicine and neuroscience have often overlooked this information. The need to bring the research on biometals in neurodegeneration to the forefront of biomedical research is essential in order to understand neurodegenerative disease processes and develop effective therapeutics. Authoritative and timely resource bringing together the major findings in the field for those with an interest in metals and their role in the brain function, disease, and as therapeutic targets Written for academic researchers, clinicians, and advanced graduate students studying, or treating, patients in neurodegeneration, neurochemistry, neurology and neurotoxicology Edited by international leaders in the field who have contributed greatly to the study of metals in neurodegenerative diseases

Download or read book Diagnosis of Neurological Disorders Based on Deep Learning Techniques written by Jyotismita Chaki and published by CRC Press. This book was released on 2023-05-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders. Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis. Explores data preprocessing techniques involved in diagnosis. Includes real-time case studies and examples. This book is aimed at graduate students and researchers in biomedical imaging and machine learning.