Over the past 2 decades, the field of hepatology has witnessed major developments in
diagnostic tools, prognostic models, and treatment options making it one of the most …

Artificial Intelligence (AI) is a mathematical process of computer mediating designing of
algorithms to support human intelligence. AI in hepatology has shown tremendous promise …

Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

The advancement of investigation tools and electronic health records (EHR) enables a
paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …

Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …

Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the
liver; however, many obstacles still have to be overcome for the digitalization of real-world …

Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …

Abstract Machine learning, a subset of artificial intelligence (AI), is a set of computational
tools that can be used to enhance provision of clinical care in all areas of medicine …

Liver diseases cause a significant burden on public health worldwide. In spite of great
advances during recent years, there are still many challenges in the diagnosis and treatment …

Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …