Short description:

Neural Rehab explores deep learning's significant impact on healthcare through neural rehabilitation. Deep learning algorithms personalize rehabilitation plans by tailoring interventions to meet the unique needs of each individual. The book covers neural rehabilitation like stroke recovery, brain injuries, and neurological disorders.

Long description:

In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform the field of neural rehabilitation. This book sets the stage for the exploration of deep learning's significant impact on the revitalization of healthcare through neural rehabilitation.

Neural Rehab: Deep Learning in Healthcare Revitalization offers a detailed exploration of the intersection between deep learning and neural rehabilitation, shedding light on a critical area in healthcare. Through real-life examples and case studies, readers will gain a practical understanding of how deep learning is utilized in everyday healthcare settings to improve patient outcomes. The focus is on how deep learning algorithms are being used to personalize rehabilitation plans, demonstrating how technology can tailor interventions to meet the unique needs and progress of each individual. The book covers various aspects of neural rehabilitation, such as stroke recovery, brain injuries, and neurological disorders, providing readers with a comprehensive understanding of the subject matter. A key emphasis is placed on the patient-centric approach, showcasing how deep learning contributes to enhanced patient experiences, improved recovery, and an overall better quality of life.

This book is essential reading for healthcare professionals, researchers, and anyone interested in the intersection of deep learning and neural rehabilitation.

Table of Contents:

1. Introduction. 2. Foundations of Deep Learning. 3. Neurological Conditions and Rehabilitation Challenges. 4. Personalized Healthcare through Deep Learning. 5. Case Studies in Stroke Recovery. 6. Advancements in Brain Injury Rehabilitation. 7. Neural Rehabilitation for Neurological Disorders. 8. Wearable Technology in Neural Rehabilitation. 9. Ethical Considerations and Patient Privacy. 10. Interdisciplinary Collaborations: The Future of Healthcare. 11. Global Perspectives on Neural Rehabilitation. 12. Challenges and Future Directions. 13. Industry Perspectives: Innovations and Partnerships. 14. Towards Inclusive Healthcare: Accessibility and Affordability. 15. Conclusion: Shaping the Future of Neural Rehabilitation.