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

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. Every case was evaluated with and without assistance by the AI software © mdbrain, with a washout period of at least four weeks in-between. Half of the cases included at least one false-positive AI finding. Aneurysm ratings, follow-up recommendations, and reading times were assessed using the Wilcoxon signed-rank test.

Results

False-positive AI results led to s

SUBMITTER: Kim SH 

PROVIDER: S-EPMC12008054 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature