Background Clinical Decision Support Systems (CDSS) are used to assist the decision-
making process in the healthcare field. Developing an effective CDSS is an arduous task …

Background Modern artificial intelligence (AI) and machine learning (ML) methods are now
capable of completing tasks with performance characteristics that are comparable to those of …

Electronic medical records are increasingly used to store patient information in hospitals and
other clinical settings. There has been a corresponding proliferation of clinical natural …

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

Healthcare provision has a significant climate impact and, conversely, the climate is a
determinant of population health. Research is underway to quantify the emissions from …

The treatment decisions for patients with hepatocellular carcinoma are determined by a wide
range of factors, and there is a significant difference between the recommendations of …

Explainable artificial intelligence (XAI) has shown benefits in clinical decision support
systems (CDSSs); however, it is still unclear to CDSS developers how to select an XAI …

Hepatocellular carcinoma (HCC) is a common tumor. Although the diagnosis and treatment
of HCC have made great progress, the overall prognosis remains poor. As the core …

Background Early detection of complex diseases like hepatocellular carcinoma remains
challenging due to their network-driven pathology. Dynamic network biomarkers (DNB) …

Significant quality gaps exist in the management of chronic liver diseases and cirrhosis.
Clinical decision support (CDS) systems—information-driven tools based in and launched …