Artificial Intelligence and Brain-Computer Interfaces in Healthcare
Published on 3. March 2026
300 pages
978-0-443-26467-2 (ISBN)
Description
Artificial Intelligence and BCIs in Healthcare discusses the essentials of state-of-the-art brain signal analysis, AI, and BCIs available today. This book is an ideal bridge of these emerging technologies. Divided into three sections, the chapters cover the Fundamentals, Applications, and Regulatory Issues facing healthcare systems today. Artificial Intelligence and BCIs in Healthcare fills a gap in literature available to researchers and may also be of interest to clinicians.
- Presents material integration
- Covers rehabilitation and other healthcare-related applications
- Includes regulatory guidelines
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Other editions
Additional editions
Chandra P. Sharma | Vinoy Thomas | Arie Nakhmani
Artificial Intelligence and Brain-Computer Interfaces in Healthcare
Book
approx. 03/2026
Academic Press
€161.50
Not yet published
Content
Section 1: Fundamentals1. Introduction2. Brain-Computer Interfaces (BCI)3. Signal Acquisition, Signal Processing, and Modeling4. Artificial Intelligence in BCI5. Engineering materials in BCI6. Noninvasive Sensors in BCI7. Non-Invasive Therapies in BCI8. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCISection 2: Applications9. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders10. Tricking the Brain for Non-Invasive Therapies: Smart Mazes11. Early Diagnostics in Neurodiversity Using AI12. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging13. BCI, Neuromodulation, and Neurorehabilitation Techniques14. Fibromyalgia: Understanding the Brain Circuitry Using AI15. Internet of Things and BCI Related Point of Care Device Applications16. The Study of Stimulation-Evoked potentials in BCI17. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions18. Enhancing Patient Safety in Dialysis Care through Human-Computer InteractionsSection 3: Regulatory Issues19. Pain Management using AI20. Future Challenges and Perspectives
