The integration of artificial intelligence (AI) in breast cancer screening is transforming the field of radiology, offering pioneering approaches to enhance early detection and improve diagnostic accuracy. Mammographic screening is the area where AI can have the most immediate clinical impact. This Special Collection aims to collect groundbreaking studies on AI-driven technologies, such as machine learning and large language models, with their clinical applications, providing a centralized resource for original research and reviews. The collection is open for submissions, inviting researchers to contribute novel insights and methodologies. All submissions will undergo regular peer review process.