TY  - JOUR
AU  - Walger, Lennart
AU  - Bauer, Tobias
AU  - Kügler, David
AU  - Schmitz, Matthias H
AU  - Schuch, Fabiane
AU  - Arendt, Christophe
AU  - Baumgartner, Tobias
AU  - Birkenheier, Johannes
AU  - Borger, Valeri
AU  - Endler, Christoph
AU  - Grau, Franziska
AU  - Immanuel, Christian
AU  - Kölle, Markus
AU  - Kupczyk, Patrick
AU  - Lakghomi, Asadeh
AU  - Mackert, Sarah
AU  - Neuhaus, Elisabeth
AU  - Nordsiek, Julia
AU  - Odenthal, Anna-Maria
AU  - Dague, Karmele Olaciregui
AU  - Ostermann, Laura
AU  - Pukropski, Jan
AU  - Racz, Attila
AU  - von der Ropp, Klaus
AU  - Schmeel, Frederic Carsten
AU  - Schrader, Felix
AU  - Sitter, Aileen
AU  - Unruh-Pinheiro, Alexander
AU  - Voigt, Marilia
AU  - Vychopen, Martin
AU  - von Wedel, Philip
AU  - von Wrede, Randi
AU  - Attenberger, Ulrike
AU  - Vatter, Hartmut
AU  - Philipsen, Alexandra
AU  - Becker, Albert
AU  - Reuter, Martin
AU  - Hattingen, Elke
AU  - Sander, Josemir W
AU  - Radbruch, Alexander
AU  - Surges, Rainer
AU  - Rüber, Theodor
TI  - A Quantitative Comparison Between Human and Artificial Intelligence in the Detection of Focal Cortical Dysplasia.
JO  - Investigative radiology
VL  - 60
IS  - 4
SN  - 0020-9996
CY  - Philadelphia, Pa.
PB  - Lippincott Williams & Wilkins
M1  - DZNE-2025-00402
SP  - 253 - 259
PY  - 2025
AB  - Artificial intelligence (AI) is thought to improve lesion detection. However, a lack of knowledge about human performance prevents a comparative evaluation of AI and an accurate assessment of its impact on clinical decision-making. The objective of this work is to quantitatively evaluate the ability of humans to detect focal cortical dysplasia (FCD), compare it to state-of-the-art AI, and determine how it may aid diagnostics.We prospectively recorded the performance of readers in detecting FCDs using single points and 3-dimensional bounding boxes. We acquired predictions of 3 AI models for the same dataset and compared these to readers. Finally, we analyzed pairwise combinations of readers and models.Twenty-eight readers, including 20 nonexpert and 5 expert physicians, reviewed 180 cases: 146 subjects with FCD (median age: 25, interquartile range: 18) and 34 healthy control subjects (median age: 43, interquartile range: 19). Nonexpert readers detected 47
KW  - Humans
KW  - Artificial Intelligence
KW  - Female
KW  - Male
KW  - Magnetic Resonance Imaging: methods
KW  - Adult
KW  - Prospective Studies
KW  - Malformations of Cortical Development: diagnostic imaging
KW  - Image Interpretation, Computer-Assisted: methods
KW  - Young Adult
KW  - Adolescent
KW  - Sensitivity and Specificity
KW  - Middle Aged
KW  - Reproducibility of Results
KW  - Focal Cortical Dysplasia
LB  - PUB:(DE-HGF)16
C6  - pmid:39437019
DO  - DOI:10.1097/RLI.0000000000001125
UR  - https://pub.dzne.de/record/277419
ER  -