Liver diseases, particularly NAFLD and NASH, and cardiovascular diseases are serious global health risks. Noninvasive diagnostic methods, particularly ultrasound elastography (2D SWE, pSWE, ARFI) and clinical biomarkers (AST, ALT, FIB 4, NFS, CRP, lipid profile), are effective tools for assessing liver fibrosis and predicting CVD risk. A multimodal approach, with the integration of AI and deep learning, increases diagnostic accuracy and allows for individualized patient risk stratification. This review article presents the effectiveness of multimodal approaches based on ultrasound images and biomarkers and a review of the scientific literature.

Ultrasound elastography, liver fibrosis, NAFLD, CVD

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