This module introduces the fundamental concepts and technologies behind artificial intelligence. You will explore the history of AI, understand how models are trained and tested, and examine the differences between parametric and non-parametric approaches. The module also explains how classification performance is evaluated using standard AI assessment metrics.

This module examines common abnormalities identified in mammographic imaging. You will learn to distinguish between benign and malignant characteristics of calcifications and masses on mammography. Understanding these imaging features provides the clinical foundation for applying artificial intelligence to breast cancer detection.

This module explores how artificial intelligence techniques are applied to breast cancer detection. You will examine different AI approaches, including Bayesian models and deep learning neural networks, and understand how classifiers are developed for medical imaging tasks. The module also highlights current research directions and emerging applications of AI in breast imaging.