This review outlines the current status and challenges of the clinical applications of artificial
intelligence in liver imaging using computed tomography or magnetic resonance imaging …

Autoimmune hepatitis (AIH) is a chronic immune-inflammatory disease of the liver, generally
considered a rare condition. The clinical manifestation is extremely varied and can range …

Objective Measurement of the liver and spleen volumes has clinical implications. Although
computed tomography (CT) volumetry is considered to be the most reliable noninvasive …

Background To establish and validate a radiomics-based model for staging liver fibrosis at
contrast-enhanced CT images. Materials and methods This retrospective study developed …

Objectives Splenic volume (SV) was proposed as a relevant prognostic factor for patients
with hepatocellular carcinoma (HCC). We trained a deep-learning algorithm to fully …

Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …

Background The value of CT in assessment of clinically significant portal hypertension
(CSPH) has not been well determined. Purpose To evaluate the performance of CT features …

Recently, increasing attention has been paid to the application of artificial intelligence (AI) to
the diagnosis of diverse hepatic diseases, which comprises traditional machine learning and …

Objectives Deep learning enables an automated liver and spleen volume measurements on
CT. The purpose of this study was to develop an index combining liver and spleen volumes …

Background Reference intervals guiding volumetric assessment of the liver and spleen have
yet to be established. Purpose To establish population-based and personalized reference …