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 …

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 …

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

With the rapid advancements in computer science, artificial intelligence (AI) has become an
intrinsic part of our daily life and clinical practices. The concepts of AI, such as machine …

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

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) has become increasingly widespread in our daily lives, including
healthcare applications. AI has brought many new insights into better ways we care for our …

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 …

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

Artificial intelligence (AI) is a branch of computer science that attempts to mimic human
intelligence, such as learning and problem‐solving skills. The use of AI in hepatology …