1. Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms
The algorithm predicted future breast cancer based on the index mammogram (AUC = 0.91; specificity of 77.3% and sensitivity of 87%).
The algorithm improved risk prediction over the Gail model (AUC, 0.78 vs 0.54, respectively; P < .004).
The algorithm identified white blood cell profiles and thyroid function tests as associated with breast cancer, although these factors are not currently incorporated into risk scores.
Top 15 highest contributing clinical features for predicting future breast cancer.
Akselrod-Ballin A et al. Published Online: June 18,