Background: Acute liver injury occurs most frequently due to trauma, but it can also occur
because of sepsis or drug-induced injury. This review aims to analyze artificial intelligence …

Background Both early detection and severity assessment of liver trauma are critical for
optimal triage and management of trauma patients. Current trauma protocols utilize …

Correct diagnosis of the liver tumor phenotype is crucial for treatment planning, especially
the distinction between malignant and benign lesions. Clinical practice includes manual …

Over the past few years, developments in artificial intelligence (AI), especially in radiomics
and deep learning, have enabled the extraction of pathophysiology-related information from …

Objective: Artificial intelligence (AI) has begun to play a pivotal role in hepatic imaging. This
systematic scoping review summarizes the latest progress of AI in evaluating hepatic …

Radiomics uses computers to extract a large amount of information from different types of
images, form various quantifiable features, and select relevant features using artificial …

Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have
become an increasingly significant health problem worldwide. Noninvasive imaging plays a …

Background To develop an end-to-end deep learning method for automated quantitative
assessment of pediatric blunt hepatic trauma based on contrast-enhanced computed …

Recently, radiomics and deep learning have gained attention as methods for computerized
image analysis. Radiomics and deep learning can perform diagnostic or predictive tasks …

Recently, radiomics and deep learning have gained attention as methods for computerized
image analysis. Radiomics and deep learning can perform diagnostic or predictive tasks …