Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage.

Journal: Journal of breast imaging
Published Date:

Abstract

OBJECTIVE: Artificial intelligence (AI)-based triage algorithms may improve cancer detection and expedite radiologist workflow. To this end, the performance of a commercial AI-based triage algorithm on screening mammograms was evaluated across breast densities and lesion types.

Authors

  • Tara A Retson
    Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., S.J.K., K.E.J., A.C.Y., S.S.B., L.D.H., A.H.); and Department of Mathematics and Statistics, San Diego State University, San Diego, Calif (K.A.H.).
  • Alyssa T Watanabe
    Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA. alyssawata@gmail.com.
  • Hoanh Vu
    CureMetrix, Inc., La Jolla, CA, USA.
  • Chi Yung Chim
    CureMetrix, Inc., La Jolla, CA, USA.