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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

P. Slomka

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4 papers indexed here

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Review Sep 2026

Beyond stenosis: imaging phenotyping and risk stratification in nonobstructive coronary artery disease.

PURPOSE OF REVIEW Nonobstructive coronary artery disease (NOCA) is now frequently detected by coronary CT angiography (CCTA), but the term compresses biologically distinct patterns into a single anatomic label. This review examines how CT-derived markers can reorganize NOCA around plaque burden, inflammatory activity,...

P. Piña, A. Filtz, Daniel Lorenzatti et al. · 0 citations
Review Open access Jan 2026

Cardiac CT for personalized phenotyping in stable coronary artery disease: toward precision medicine

Abstract Following technological developments and new landmark trials, the diagnostic work-up of symptomatic chronic coronary artery disease (CAD) has evolved. Clinical guidelines now favor noninvasive anatomical assessments by coronary CT angiography (CCTA) as the first-line modality to evaluate CAD in the majority of...

J. Lenell, K. Grodecki, J. Kwieciński et al. · 0 citations
Open access Aug 2026

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

Background and Aims: Epicardial adipose tissue (EAT) has emerged as an important cardiovascular biomarker that reflects both inflammatory and cardiometabolic risk. EAT volume and density vary significantly across populations, yet there is a lack of multicenter studies investigating the predictive value of population-sp...

A. Kamagate, A. Shanbhag, M. Buchwald et al. · 0 citations
Open access Sep 2026

Quantitative coronary artery and aortic valve calcification by virtual non-contrast Images from dual-energy delayed CT scans in patients with severe aortic stenosis.

With the growing use of delayed dual-energy computed tomography (DECT) imaging for extracellular volume assessment, this study aimed to assess the accuracy of coronary artery calcium (CAC) and aortic valve calcification (AVC) quantification in virtual non-contrast (VNC) images derived from delayed DECT images. Eighty-e...

H. Fujito, K. R. Bookani, B. Gheyath et al. · 0 citations

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