Evidence
Robust Breast Cancer Detection in Mammography and Digital Breast Tomosynthesis Using an Annotation-Efficient Deep Learning Approach
Nature Medicine
Lotter et al. Jan 2021
DeepHealth’s deep-learning algorithm achieves state of the art performance in mammogram classification. The AI model was compared to 5 readers in a reader study of 131 index cancers and 154 confirmed negatives. The model showed robust and generalizable performance, reporting an Area Under the Curve (AUC) of 0.945 and outperforming all radiologists with a sensitivity 14% higher than the average radiologist sensitivity.