There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity across the healthcare ecosystem. The success of joined-up care relies on patient data being shared between all active stakeholders, including hospitals, outreach workers, and GPs. All these needs and challenges pave the way for the next trend of development in healthcare - healthcare 4.0.

• Chapter 1: Introduction to Healthcare 4.0
• Chapter 2: Deep learning-based convolutional neural networks for healthcare systems
• Chapter 3: Investigations on the impact of AI models in human health using nutrient analysis from food images
• Chapter 4: Medical diagnosis of human heart diseases using supervised learning techniques
• Chapter 5: Artificial intelligence to predict heart disease and model constructed using TabPy
• Chapter 6: Artificial intelligence integrated approach for healthcare management: a critical analysis
• Chapter 7: Privacy preserving blockchain-based healthcare model for EMR - a study
• Chapter 8: An exploratory review on Internet of Things in healthcare applications
• Chapter 9: Augmented reality/virtual reality for detecting anxiety disorder
• Chapter 10: Overview of immersive environment exercise pose analysis for self-rehabilitation training of work-related musculoskeletal pains
• Chapter 11: IoT-enabled digital revolution of the healthcare system
• Chapter 12: Integrated and intelligent cloud service platforms for transition from Healthcare 1.0 to 4.0
• Chapter 13: Trending technologies in patient-centric Healthcare 4.0