Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies

Tad T. Brunyé, Kelsey Booth, Dalit D. Hendel, Kathleen F. Kerr, Hannah Shucard, Donald L. Weaver, Joann G. Elmore

Abstract: This study explores the feasibility of using machine learning to predict accurate versus inaccurate diagnoses made by pathologists based on their spatiotemporal viewing behavior when evaluating digital breast biopsy images.