Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.
Journal:
Breast cancer (Tokyo, Japan)
Published Date:
Feb 12, 2020
Abstract
BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Artificial Intelligence
Breast
Breast Neoplasms
Decision Support Systems, Clinical
Early Detection of Cancer
Female
Humans
Japan
Mammography
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Radiologists
Reference Standards
Retrospective Studies
ROC Curve
Young Adult