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Explainable Machine-Learning Model to Classify Culprit Calcified Carotid Plaque in Embolic Stroke of Undetermined Source

Title: Explainable Machine-Learning Model to Classify Culprit Calcified Carotid Plaque in Embolic Stroke of Undetermined Source
Authors: Sakai, Yu; Kim, Jiehyun; Phi, Huy Q.; Hu, Andrew C.; Balali, Pargol; Guggenberger, Konstanze V.; Woo, John H.; Bos, Daniel; Kasner, Scott E.; Cucchiara, Brett L.; Saba, Luca; Huang, Zhi; Haehn, Daniel; Song, Jae W.
Source: Sakai, Y, Kim, J, Phi, H Q, Hu, A C, Balali, P, Guggenberger, K V, Woo, J H, Bos, D, Kasner, S E, Cucchiara, B L, Saba, L, Huang, Z, Haehn, D & Song, J W 2026, 'Explainable Machine-Learning Model to Classify Culprit Calcified Carotid Plaque in Embolic Stroke of Undetermined Source', Journal of Neuroimaging, vol. 36, no. 1, e70119. https://doi.org/10.1111/jon.70119
Publication Year: 2026
Description: Background and Purpose: Embolic stroke of undetermined source (ESUS) may be associated with carotid artery plaques with 2.6 mm and ≥112 mm 3 , respectively.f. Conclusions: ML model trained with noncalcified plaque and calcification features can classify culprit calcified carotid plaque better than conventional criteria. Using clinically interpretable features with SHAP, the model explained its decisions and suggested hypothesis-generating thresholds.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1051-2284; 1552-6569
Relation: info:eu-repo/semantics/altIdentifier/pmid/41568918; info:eu-repo/semantics/altIdentifier/pissn/1051-2284; info:eu-repo/semantics/altIdentifier/eissn/1552-6569
DOI: 10.1111/jon.70119
Availability: https://pure.eur.nl/en/publications/c7218aa8-ba66-4d9b-9449-7b172c53f9c5; https://doi.org/10.1111/jon.70119; https://pure.eur.nl/ws/files/226368485/Explainable_Machine-Learning_Model_to_Classify_Culprit_Calcified_Carotid_Plaque_in_Embolic_Stroke_of_Undetermined_Source.pdf; https://www.scopus.com/pages/publications/105028227098
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.CA1C17BA
Database: BASE