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Author

A. Marcinkiewicz

2 papers indexed here

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Open access Sep 2026

Artificial intelligence-derived splenic response in cardiac positron emission tomography is associated with major adverse cardiovascular events: a multi-site study.

AIMS Inadequate pharmacologic stress may limit the diagnostic and prognostic accuracy of myocardial perfusion imaging (MPI). The splenic ratio (SR), a measure of stress adequacy, has emerged as a potential imaging biomarker. We developed an artificial intelligence (AI) method to derive SR and evaluated the prognostic v...

G. Ramirez, Naga L. Dharmavaram, A. Shanbhag et al. · 0 citations
Open access Aug 2026

Clinical Reference Percentiles for AI-derived Epicardial Adipose Tissue: A Multicenter Study

Age- and sex-specific EAT percentiles provide a clinically interpretable framework for contextualizing automated EAT measurements and identifying patients at increased cardiovascular risk and identified elevated risk even among patients with normal BMI.

A. Kamagate, A. Shanbhag, M. Buchwald et al. · 0 citations

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