Artificial Intelligence and Machine Learning in Diagnostic Radiology: Current Applications and Future Horizons

This chapter provides a comprehensive review of the integration of artificial intelligence (AI) and machine learning (ML) across diagnostic imaging, encompassing deep learning architectures for image recognition, computer-aided detection, and automated report generation. It critically evaluates the performance of AI-driven tools against established radiological standards, examines regulatory and ethical considerations, and charts the translational pathway from algorithmic development to routine clinical deployment.