Multimodal Approaches To Assessing Liver Disease And Cardiovascular Risk Based On Ultrasound Imaging And Clinical Biomarkers: A Review Of The Scientific Literature
Akhram NishanovTashkent University of Information Technologies named after Muhammad al-Khwarizmi , Tashkent , UzbekistanElmurod BabadjanovNukus State Technical University , Nukus , UzbekistanBekmuradov Ulug’bekPirnazarova Ayimjamal Berdibay qizi
ABI
Abstract
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.
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