<p>SECTION 1 Computational Intelligence for Medical Internet of Things (MIoT): Current states and Challenges</p> <p>1. AI and IoT working for healthcare: general aspects and application examples</p> <p>2. AIoMT Artificial Intelligence (AI) and Internet of Medical Things (IoMT): Applications, Challenges, and Future Trends</p> <p>3. Artificial Intelligence in Healthcare: Current Situation and Future Possibilities</p> <p>4. Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems</p> <p>5. Patients Using Real-Time remote Health Monitoring Applications: A review</p> <p>SECTION 2 Computational Intelligence for Medical Internet of Things (MIoT): Applications</p> <p>6. A Review on The Application of The Internet of Things in Monitoring Autism and Assisting Parents and Caregivers</p> <p>7. Regression Analysis of the Most Frequent Medical Diagnosis in a Mediterranean Country</p> <p>8. A conceptual framework for Artificial Intelligence of Medical Things (AIoMT)</p> <p>9. Framework for integrating healthcare Big Data using IoMT technology</p> <p>10. Application of computational intelligence in visual optimization tools to improve the performance of medical MIoT platforms</p> <p>SECTION 3 Computational Intelligence for Medical Internet of Things (MIoT): Security and Privacy</p> <p>11. Edge Intelligence Case Study on Medical Internet of Things Security</p> <p>12. Data-driven Intelligent Medical Internet of Things (MIoT) Based Healthcare Solutions for Secured Smart Cities</p> <p>13. A Secure and Efficient Two-factor Authentication Protocol for Body Sensor Networks</p> <p>14. Pervasive M-health for Chronic Diseases</p> <p>15. Hybrid Intelligence Based Cryptosystem: Security and Privacy Enhancement in Telemedicine System</p>