Artificial Intelligence and Brain-Computer Interfaces in Healthcare

Section 1: Fundamentals<br>1. Introduction<br>2. Brain-Computer Interfaces (BCI)<br>3. Signal Acquisition, Signal Processing, and Modeling<br>4. Artificial Intelligence in BCI<br>5. Engineering materials in BCI<br>6. Noninvasive Sensors in BCI<br>7. Non-Invasive Therapies in BCI<br>8. Redefining the Paradigm of Medical Practice with Artificial Intelligence and BCI<br><br>Section 2: Applications<br>9. Machine Learning Approach to Imaging-Based Classification of Neurodevelopmental Disorders<br>10. Tricking the Brain for Non-Invasive Therapies: Smart Mazes<br>11. Early Diagnostics in Neurodiversity Using AI<br>12. Applications of Ultrasound and other Non-Invasive Techniques in Brain Stimulation and Imaging<br>13. BCI, Neuromodulation, and Neurorehabilitation Techniques<br>14. Fibromyalgia: Understanding the Brain Circuitry Using AI<br>15. Internet of Things and BCI Related Point of Care Device Applications<br>16. The Study of Stimulation-Evoked potentials in BCI<br>17. AI for Sleep Analysis and Diagnostics: Current Perspectives and Future Directions<br>18. Enhancing Patient Safety in Dialysis Care through Human-Computer Interactions<br><br>Section 3: Regulatory Issues<br>19. Pain Management using AI<br>20. Future Challenges and Perspectives