Answers are grounded in this paper and cite their sources.
Systematic review shows AI improves liver cancer detection accuracy, suggesting potential for enhanced clinical workflows.
AI models, particularly CNN- and radiomics-based, show accuracy comparable to radiologists in distinguishing HCC from CCA. Multi-modal integration and feature fusion hold the greatest promise for improving workflows. Large-scale, multi-center validation is needed to confirm their utility and enable adoption in liver cancer care.
No takes yet. Share an insight, caveat, or question.
Rattanapitoon et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: