Mammogram-based AI risk assessment in patients with dense breasts undergoing supplemental molecular breast imaging
Quantitative Imaging in Medicine and Surgery, 2026
Abstract
Introduction: This study examines the application of AI-based risk assessment tools in patients with dense breasts who undergo supplemental molecular breast imaging.
Methods: Researchers utilized mammogram-based AI risk assessment technology to evaluate patients with dense breast tissue undergoing additional molecular breast imaging procedures.
Results: The AI risk assessment demonstrated effectiveness in identifying high-risk patients with dense breasts, potentially improving early detection and personalized screening approaches.
Conclusion: AI-based risk assessment shows promise as a valuable tool for enhancing breast cancer screening in patients with dense breast tissue, particularly when combined with supplemental imaging modalities.
