Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.

• Section 1: Medical image analysis using artificial intelligence
• Chapter 1: Intervention of medical images for disease prediction
• Chapter 2: Breast cancer detection in pathological imaging using deep learning methods
• Chapter 3: Detection of autism spectrum disorder using artificial intelligence
• Chapter 4: Lossless medical image compression and noise removal using deep learning models
• Chapter 5: Prediction of diabetes using voting classification algorithms
• Chapter 6: Use of deep learning approaches for the prediction of diseases from medical images
• Chapter 7: Deep learning approach for the prediction of diseases in medical images
• Chapter 8: Detection of food allergy using deep learning
• Section 2: Use of AI-enabled IoT in healthcare
• Chapter 9: Design and development of Internet of Things and artificial intelligence-based medical imaging system
• Chapter 10: Internet of Things and medical imaging AI systems
• Chapter 11: Role of artificial intelligence in medical IoT devices
• Section 3: Applications of artificial intelligence in healthcare
• Chapter 12: Internet automation indulgence of virtual reality in psychiatric health disorder
• Chapter 13: Role of big data analytics in healthcare systems