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Chapter 1: A Framework for the Integration of Blockchain Technology in Healthcare Records Management System in Kurdistan Chapter 2: A Blockchain-Based Approach to Healthcare Data Security: Leveraging Anomaly Detection and Smart Contracts Chapter 3: Integrating AI, Quantum Computing, and Blockchain for Secure Healthcare Data Management: Addressing Regulatory and Implementation Challenges Chapter 4: Smart Wearables: Revolutionizing Premier League Footballers with IoT and Blockchain Technology Chapter 5: Blockchain Technology for Healthcare Data Security and Privacy Chapter 6: Adversarial Machine Learning in Healthcare: Protecting AI Systems from Threats to Patient Safety and Data Security Chapter 7: Federated learning in healthcare: Distributed Machine Learning for Privacy Preservation Chapter 8: GAN and Explainable AI(XAI) for Cyber Security in Healthcare Chapter 9: Security in Cloud-Based IoT: A Survey Chapter 10: Impact Of Gdpr On Healthcare Data Security Practices Chapter 11: Leveraging AI in the Diagnosis and Management of Cerebral Palsy in Children: A Case Study of Chattagram Maa-O-Shishu Hospital Chapter 12: Predicting New-Onset Diabetes Post-Transplantation in Kidney Patients Throughout Assessment of Medication Dosages: A Boosting Ensemble Machine Learning Method Chapter 13: Predicting Quality of Care Outcomes in Diabetes Patients Using Boosted Tree Models: A Clinical Factor Analysis Chapter 14: Deep Learning-Based Medical Image Processing Chapter 15: Deep Learning in Computerized Medical Imaging: Diagnosing Lung Diseases (Pneumonia and COVID-19) from X-rays Chapter 16: Exploring the Frontiers of Brain MRI Image Segmentation using Deep Learning |