Artificial Intelligence-based agents in chronic liver disease: transforming diagnostic and therapeutic workflows through clinical decision-making

Chronic liver diseases present complex diagnostic challenges requiring multimodal data integration. Current workflows rely on sequential specialist consultations, creating critical delays. Artificial intelligence agents autonomous systems capable of reasoning and collaborative decision-making represent a transformative approach through distributed problem-solving networks. Multi-agent architectures provide therapeutic decision support across metabolic, cholestatic, and malignant transformations. We present a conceptual framework for clinical implementation.