Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography

Su Hwan Kim, Severin Schramm, Evamaria Olga Riedel, Lena Schmitzer, Enrike Rosenkranz, Olivia Kertels, Jannis Bodden, Karolin Paprottka, Dominik Sepp, Martin Renz, Jan Kirschke, Thomas Baum, Christian Maegerlein, Tobias Boeckh-Behrens, Claus Zimmer, Benedikt Wiestler, Dennis M. Hedderich

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

Purpose: To determine how automation bias (inclination of humans to overly trust-automated decision-making systems) can affect radiologists when interpreting AI-detected cerebral aneurysm findings in time-of-flight magnetic resonance angiography (TOF-MRA) studies. Material and Methods: Nine radiologists with varying levels of experience evaluated twenty TOF-MRA examinations for the presence of cerebral aneurysms.

OriginalspracheEnglisch
FachzeitschriftRadiologia Medica
DOIs
PublikationsstatusAngenommen/Im Druck - 2025

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