Neurological Disorders Advances In Medical Technology And Clinical Practice

A neurological disorder refers to a type of disorder that affects the nervous system. These disorders include multiple sclerosis, Alzheimer's disease and other dementias, Parkinson's disease, brain tumors, epilepsy, neuroinfections, and cerebrovascular diseases. There are several signs and symptoms of these disorders, such as muscle weakness, seizures, loss of sensation, paralysis and poor coordination. Neurological disorders are diagnosed using a variety of medical techniques, including positron emission tomography (PET), electroencephalography (EEG), single-photon emission computed tomography (SPECT), computerized tomography (CT scan) and magnetic resonance imaging (MRI scan). These medical technologies generate massive amounts of complex and high-dimensional data, which is a crucial source for planning therapies and treatments. Various advances in clinical practice and medical technologies are being developed, such as therapies with the potential to detect and treat Alzheimer's disease before its symptoms manifest, usage of stem cells for replacement therapy, and development of implantable wireless brain devices. This book unravels the recent studies on neurological disorders. It elucidates the advances in medical technology and clinical practice with respect to these disorders. Those in search of information to further their knowledge will be greatly assisted by this book.

While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.

People with neurological disorders may experience significant problems, isolation, detachment, and passivity while dealing with environmental requests. They constantly rely on caregivers and family assistance, which can create negative outcomes on their quality of life. An emerging way to overcome these issues is assistive technology-based interventions (AT). AT-based programs are designed to fill the gap between human/individual capacities or skills and environmental requests. These technologies can also bring about independence and self-determination and provide people with neurological disorders an active role, positive participation, and an enhanced status in being able to achieve functional daily activities by reducing the roles of their families and caregivers. The positive impacts of this technology are an important area of research, and its usage for neurological disorders is critical for the assessment and recovery of patients. Assistive Technologies for Assessment and Recovery of Neurological Impairments explores the use of AT-based programs for promoting independence and self-determination of individuals with neurological disorders. The chapters discuss AT-based interventions in detail with the specific technologies that are being used, the positive effects on patients, and evidence-based practices. This book also focuses on specific technologies such as virtual reality (VR) setups and augmented reality (AR) as valid ecological environments for patients that ensure methodological control and behavioral tracking for both assessment and rehabilitation purposes. This book is essential for occupational therapists, speech therapists, physiotherapists, neurologists, caregivers, psychologists, practitioners, medical professionals, medical technologists, IT consultants, academicians, and students interested in assistive technology interventions for people with neurological impairments.

The relentless march of scientific progress, propelled by innovative technologies and the promise of artificial intelligence, has ushered in an era of unprecedented knowledge and discovery. Yet, this surge in information and technological advancement has left scholars, researchers, and medical professionals grappling with the immense task of translating this wealth of data into practical solutions for real-world problems. As they strive to enhance our understanding of brain health and tackle conditions and disorders that have eluded resolution for over a century, there is a critical need for a unified and coherent approach. Advances in Neurosciences, Neuropsychiatry, and Neurology is a groundbreaking book that is not just a source of knowledge but a roadmap to resolving the perplexing challenges in these fields. With a laser focus on consolidating theoretical insights and presenting clinically relevant findings, this book stands as a beacon of guidance for those seeking to leverage the transformative potential of technology and scientific advancement. It provides an invaluable toolkit of therapeutic strategies, aimed to seamlessly integrate into clinical practice.

Most neurological disorders are chronic and aging-related. With the increase of life expectancy their incidence and prevalence will grow in the decades to come, which in turn will increase the load on medical and social systems worldwide. There is thus a desperate need for successful preventive and therapeutic measures based on randomized clinical trials (RTCs) conducted by independent organizations. This book provides a compendium relating most of the principles of reliable RTCs to specific neurological diseases. Contributed by specialized neurologists, the articles touch on important aspects of RCTs with a clear critical approach, highlighting their limitations as well as giving recommendations for their planning and conducting to address the variable genotypic and phenotypic aspects of neurological conditions. Consideration is also given to combining the clinical impact of the study results with patients’ values and the interests of pharmaceutical companies. Neurologists involved in clinical trials will certainly benefit from this book, which should become a basic text for all neurological courses dealing with evidence-based neurology.

As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Mental, neurological, and substance use disorders are common, highly disabling, and associated with significant premature mortality. The impact of these disorders on the social and economic well-being of individuals, families, and societies is large, growing, and underestimated. Despite this burden, these disorders have been systematically neglected, particularly in low- and middle-income countries, with pitifully small contributions to scaling up cost-effective prevention and treatment strategies. Systematically compiling the substantial existing knowledge to address this inequity is the central goal of this volume. This evidence-base can help policy makers in resource-constrained settings as they prioritize programs and interventions to address these disorders.

"Neuroscience nurses practice in a very complex and challenging environment, caring for equally complex patients with multiple needs. Therefore, the contemporary neuroscience nurse engages in high-level assessment, information processing, and decision making. This requires professional competency in not only the specialty of neuroscience nursing practice, but also in general nursing and interprofessional collaborative practice. Much of the care delivered is through teams, with the nurse being an integral team member. The complexities of team communications, coordination, continuity, and safety require new models of practice to achieve optimal outcomes"--