Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound

Figure 1 Artificial intelligence-powered multiparametric ultrasound for the assessment of liver fibrosis and steatosis. Schematic representation of the integration of different imaging and diagnostic modalities, including conventional ultrasound, color doppler, shear wave elastography, attenuation imaging, magnetic resonance, and liver biopsy as input sources for artificial intelligence analysis. Machine learning and deep learning algorithms process multiparametric data to improve the assessment of liver fibrosis and steatosis, leading to enhanced prognosis stratification, clinical monitoring, precision medicine, and risk stratification. DL: Deep learning; ML: Machine learning.