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 …

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 …

Objectives The accurate prediction of post-hepatectomy early recurrence in patients with
hepatocellular carcinoma (HCC) is crucial for decision-making regarding postoperative …

Simple Summary For early-stage hepatocellular carcinoma (HCC)(size≤ 5 cm), the
prediction of microvascular invasion (MVI) before operation is important for the therapeutic …

Background Few studies have focused on the prognosis of patients with hepatocellular
carcinoma (HCC) of Barcelona Clinic Liver Cancer (BCLC) stage 0‒C in terms of early …

Liver tumors, whether primary or metastatic, have emerged as a growing concern with
substantial global health implications. The timely identification and characterization of liver …

Microvascular invasion of hepatocellular carcinoma is an important factor affecting tumor
recurrence after liver resection and liver transplantation. There are many ways to classify …

Background Accurate preoperative identification of the microvascular invasion (MVI) can
relieve the pressure from personalized treatment adaptation and improve the poor prognosis …

Artificial intelligence (AI) has made steady in-roads into the healthcare scenario over the last
decade. While widespread adoption into clinical practice remains elusive, the outreach of …

Objectives This study aimed to assess the effectiveness of the two-trait predictor of venous
invasion (TTPVI) on contrast-enhanced computed tomography (CECT) for the preoperative …