Buch, Englisch, 250 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Headache
ISBN: 978-3-032-41390-1
Verlag: Springer
This book is the first comprehensive resource dedicated to the application of artificial intelligence (AI) in headache disorders, with a particular focus on migraine. Although the use of AI in healthcare has been extensively explored, no existing volume brings together the full spectrum of approaches, from machine learning and deep learning to digital twins and AI-driven drug discovery, within the context of headache medicine.
The book addresses a significant gap in the literature by integrating clinical expertise, data science, and ethical considerations into a coherent and accessible framework. One of its key strengths is its multidisciplinary authorship, bringing together neurologists, data scientists, and AI ethicists to ensure clinical relevance, methodological rigor, and ethical integrity.
The chapters provide both foundational knowledge, including core concepts, terminology, historical developments, and methodological approaches, and practical insights into applications such as diagnosis, classification, prediction, and treatment optimization. They also examine emerging opportunities and challenges that are likely to shape the future of the field.
Designed for clinicians, researchers, data scientists, industry professionals, and students, the book also offers valuable perspectives for patient advocates and healthcare policymakers. By combining patient-centered approaches with technological innovation, it serves as a forward-looking reference that not only summarizes current achievements but also outlines a roadmap for future progress.
Ultimately, the book aims to foster interdisciplinary collaboration, stimulate innovative research, and accelerate advances in the understanding, diagnosis, and treatment of headache disorders.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Application of Artificial Intelligence in Healthcare.- Machine learning classification models in migraine.- Deep Learning Classification Models in Migraine.- Machine Learning Classification Models in Non-Migraine Headache Disorders.- Forecasting Migraine Attacks and Artificial Intelligence.- Machine Learning Prediction Models and Migraine Management.- Digital Twin Models and Primary Headache Disorders.- Artificial Intelligence-Driven Drug Discovery and Headache Disorders.- Artificial Intelligence and Non-Pharmacological Interventions in Headache Disorders.- Ethical and Practical Barriers to Applying Artificial Intelligence in Headache Disorders.- Neurologist Expectations of Artificial Intelligence in the Management of Headache Disorders in: Artificial Intelligence and Headache Disorders.- Data Scientist Expectations of Headache Experts.- Artificial Intelligence 5.0 and headache disorders.




