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. 2025 May 26;3(1):qyaf069.
doi: 10.1093/ehjimp/qyaf069. eCollection 2025 Jan.

Artificial intelligence-derived coronary plaque features predict incident acute ischaemic stroke independent of cardioembolic risk factors

Robert Luceri  1 , Francesca Calicchio  2 , Fatima Amin  3 , Livia De Sousa Domingues Da Silva  2 , Eric Hu  4 , Najah Khan  2 , Gavin Cobb  1 , Elizabeth Epstein  2 , Melody Hermel  5 , Shawn Newlander  4 , Mary Kalafut  1 , Austin Robinson  2 , Jorge Gonzalez  2 , George Wesbey 3rd  2
Affiliations

Artificial intelligence-derived coronary plaque features predict incident acute ischaemic stroke independent of cardioembolic risk factors

Robert Luceri et al. Eur Heart J Imaging Methods Pract. .
No abstract available

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Conflict of interest statement

Conflict of interest: None declared.

Figures

Figure 1
Figure 1
Baseline characteristics of the study population and analysis of AI-derived coronary plaque characteristics comparing the acute ischaemic stroke and control group.
See this image and copyright information in PMC

References

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    1. Chiou A, Hermel M, Ruiz CR, van Rosendael A, Burton T, Calicchio Fet al. Can artificial intelligence-derived coronary atherosclerotic characteristics using CCTA/CACS predict the future onset of atrial fibrillation? Eur Heart J Imaging Methods Pract 2024;2:qyae098. - PMC - PubMed

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