Congress:
ECR24
Poster Number:
C-19422
Type:
EPOS Radiologist (scientific)
Authorblock:
T. Santner1, C. Ruppert2, S. Gianolini3, J-G. Stalheim4, S. Frei5, M. Hondl Adametz6, V. Fröhlich7, S. Hofvind8, G. Widmann1; 1Innsbruck/AT, 2Zürich/CH, 3Glattpark/CH, 4Bergen/NO, 5Lausanne/CH, 6Vienna/AT, 7Wiener Neustadt/AT, 8Oslo/NO
Disclosures:
Tina Santner:
Nothing to disclose
Carlotta Ruppert:
Employee: b-rayZ AG
Stefano Gianolini:
Nothing to disclose
Johanne-Gro Stalheim:
Nothing to disclose
Stephanie Frei:
Nothing to disclose
Michaela Hondl Adametz:
Nothing to disclose
Vanessa Fröhlich:
Nothing to disclose
Solveig Hofvind:
Nothing to disclose
Gerlig Widmann:
Nothing to disclose
Keywords:
Artificial Intelligence, Breast, Mammography, Screening, Quality assurance
Purpose:
The aim of this study was to evaluate human inter-reader agreement and the impact of subjectivity in a diagnostic image quality assessment (PGMI (perfect-good-moderate-inadequate)[1]) of screening mammograms, and further to investigate the role of artificial intelligence (AI) as an alternative reader.