Fig. 4: Clinical workflow integration for AI-assisted chronic liver disease management. | npj Gut and Liver

Fig. 4: Clinical workflow integration for AI-assisted chronic liver disease management.

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

Fig. 4

Comparative analysis of traditional sequential workflow versus AI-enhanced parallel workflow for chronic liver disease management across the spectrum from MASLD/ALD to HCC and PSC to cholangiocarcinoma. The left panel illustrates conventional approach with sequential steps requiring 15–18 days total completion time, creating bottlenecks characteristic of current fragmented care models. The right panel demonstrates AI-enhanced parallel workflow featuring integrated clinical steps and AI processing columns. The clinical workflow maintains essential human oversight while AI agents operate continuously in parallel, providing real-time triage, simultaneous image analysis, evidence-based recommendations with quantified confidence metrics, adaptive monitoring during procedures, and integrated summary generation for multidisciplinary team decisions. The AI-enhanced workflow achieves 65% reduction in time, completing diagnostic and treatment pathway in 5–7 days compared to traditional 15–18 days, while maintaining clinical oversight and improving decision accuracy through intelligent assistance.

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