Artificial Intelligence is transforming medical imaging by enabling faster, more consistent, and often more accurate diagnosis. However, the integration of AI into clinical workflows demands a responsible approach that prioritizes patient safety, fairness, and transparency. This talk will explore the core principles of Responsible AI in medical imaging, including the need for robust validation, bias mitigation, explainability, and data privacy. As a case study, we will examine Thermalytix, an AI-powered breast cancer screening solution and how Responsible AI principles were applied to ensure accuracy, equity, and trust in real-world public health programs. Attendees will gain insights into building and deploying AI systems that not only scale but also uphold the highest standards of ethical healthcare innovation.