1. Introduction to Embedded System in Healthcare: Operational Environments in Healthcare Settings 2. Embedded Systems in the medical field: pros. and cons. 3. Automation of in the medical field: pros. and cons. 4. Embedded system in developing imaging devices 5. Deep Learning of Telecommunication Technology for The Efficient Utilization of Embedded Systems 6. Role of Embedded Systems in Diagnosis and Decision-Making for Better Treatment 7. Enhancing Remote Healthcare: Integration of ATOM ECG with eSanjeevani 8. Artificial Intelligence in Embedded Systems for Biomedical Applications 9. Embedded systems in metabolic bariatric surgery: from telemonitoring to deep learning applications. 10. Integration of Machine Learning Techniques with Multi-Criteria Decision-Making for a Better Treatment 11. Embedded systems in developing advanced strategies in healthcare management 12. Human Health Status Detection from the Tongue Image Using Embedded Image Processing