As healthcare technology moves towards a near-human level of performance in image recognition for screening, diagnosis, staging, and prognosis, this authored book lays the groundwork for understanding AI's transformative impact on the analysis of medical images.

• Chapter 1: Evolution of Artificial Intelligence in Healthcare
• Chapter 2: Medical Image Processing: Basics and Preprocessing Techniques
• Chapter 3: Evaluation Metrics in Medical Imaging AI
• Chapter 4: Deep Learning Architectures for Diagnosis in Medical Imaging
• Chapter 5: Non-Invasive/Invasive AI Driven Medical Assessments
• Chapter 6: Deep Learning for Early Detection and Risk Prediction
• Chapter 7: Multimodal Fusion of Imaging and Clinical Data
• Chapter 8: Explainable and Interpretable AI (XAI) in Medical Imaging
• Chapter 9: Data Privacy, Security, and Federated Learning in Healthcare AI
• Chapter 10: Case Studies and Real-World Deployment of Deep Learning in Medical Imaging
• Chapter 11: Future Directions and Ethical Considerations