Application and prospects of AI-based radiomics in ultrasound diagnosis

Abstract

Artificial intelligence (AI)-based radiomics has attracted considerable research attention in the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique advantages such as high temporal resolution, low cost, and no radiation exposure. This renders it a preferred imaging modality for several clinical scenarios. This review includes a detailed introduction to imaging modalities, including Brightness-mode ultrasound, color Doppler flow imaging, ultrasound elastography, contrast-enhanced ultrasound, and multi-modal fusion analysis. It provides an overview of the current status and prospects of AI-based radiomics in ultrasound diagnosis, highlighting the application of AI-based radiomics to static ultrasound images, dynamic ultrasound videos, and multi-modal ultrasound fusion analysis.

Keywords: Artificial intelligence; B-mode ultrasound; Color Doppler flow imaging; Contrast-enhanced ultrasound; Deep learning; Multimodal ultrasound; Radiomics; Ultrasound elastography; Ultrasound imaging.