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

doi:10.1007/s11547-025-01964-6

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

Associate Professorship of Neuroradiology

Technical University of Munich

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Journal	Radiologia Medica
DOIs	https://doi.org/10.1007/s11547-025-01964-6
State	Accepted/In press - 2025

Keywords

Artificial intelligence
Automation bias
Cerebral aneurysm
MR angiography

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10.1007/s11547-025-01964-6

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Kim, S. H., Schramm, S., Riedel, E. O., Schmitzer, L., Rosenkranz, E., Kertels, O., Bodden, J., Paprottka, K., Sepp, D., Renz, M., Kirschke, J., Baum, T., Maegerlein, C., Boeckh-Behrens, T., Zimmer, C., Wiestler, B., & Hedderich, D. M. (Accepted/In press). Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography. Radiologia Medica. https://doi.org/10.1007/s11547-025-01964-6

@article{ad8ce37ea426425cbdc7027c157125f7,

title = "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.",

keywords = "Artificial intelligence, Automation bias, Cerebral aneurysm, MR angiography",

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

note = "Publisher Copyright: {\textcopyright} The Author(s) 2025.",

year = "2025",

doi = "10.1007/s11547-025-01964-6",

language = "English",

journal = "Radiologia Medica",

issn = "0033-8362",

publisher = "Springer-Verlag Italia s.r.l.",

}

Kim, SH, Schramm, S, Riedel, EO, Schmitzer, L, Rosenkranz, E, Kertels, O, Bodden, J, Paprottka, K, Sepp, D, Renz, M, Kirschke, J , Baum, T, Maegerlein, C, Boeckh-Behrens, T, Zimmer, C, Wiestler, B & Hedderich, DM 2025, 'Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography', Radiologia Medica. https://doi.org/10.1007/s11547-025-01964-6

TY - JOUR

T1 - Automation bias in AI-assisted detection of cerebral aneurysms on time-of-flight MR angiography

AU - Kim, Su Hwan

AU - Schramm, Severin

AU - Riedel, Evamaria Olga

AU - Schmitzer, Lena

AU - Rosenkranz, Enrike

AU - Kertels, Olivia

AU - Bodden, Jannis

AU - Paprottka, Karolin

AU - Sepp, Dominik

AU - Renz, Martin

AU - Kirschke, Jan

AU - Baum, Thomas

AU - Maegerlein, Christian

AU - Boeckh-Behrens, Tobias

AU - Zimmer, Claus

AU - Wiestler, Benedikt

AU - Hedderich, Dennis M.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - Automation bias

KW - Cerebral aneurysm

KW - MR angiography

UR - http://www.scopus.com/inward/record.url?scp=85218831627&partnerID=8YFLogxK

U2 - 10.1007/s11547-025-01964-6

DO - 10.1007/s11547-025-01964-6

M3 - Article

AN - SCOPUS:85218831627

SN - 0033-8362

JO - Radiologia Medica

JF - Radiologia Medica

ER -

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

Abstract

Keywords

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