A Deep Learning–Based Decision Support Tool for Precision Risk Assessment of Breast Cancer

Tiancheng He, Mamta Puppala, Chika F. Ezeana, Yan-siang Huang, Ping-hsuan Chou, Xiaohui Yu, Shenyi Chen, Zheng Yin, Rebecca L. Danforth, Joe Ensor,

JCO Clinical Cancer Informatics · 2019 · 50 citations · 30 references

DOIFull text

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Abstract

BRISK for abnormal mammogram uses integrative artificial intelligence technology and has demonstrated high sensitivity in the prediction of malignancy. Prospective evaluation is under way and can lead to improvement in patient-physician engagement in making informed decisions with regard to biopsy.

References

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