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January 24, 2026Asian Pacific Journal of Cancer Prevention0 citationsOpen Access

Advancing Diagnostic Accuracy in Liver Cancer: A Systematic Review of Artificial Intelligence Applications in Hepatocellular Carcinoma and Cholangiocarcinoma Detection Using Abdominal CT Imaging

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SRSchawanya Kaewpitoon RattanapitoonPAPatpitcha ArunsarnTMThirayu Meererksom

Key Points

  • The study aims to evaluate the diagnostic accuracy of AI applications in liver cancer detection.
  • Systematic review of AI models used in liver cancer diagnostics, focusing on CNN and radiomics.
  • Comparison of AI effectiveness against radiologists in detecting hepatocellular carcinoma and cholangiocarcinoma.
  • Assessment of multi-modal integration and feature fusion strategies.
  • AI models show diagnostic accuracy similar to experienced radiologists.
  • Multi-modal integration and feature fusion demonstrate the greatest potential for improving diagnostic workflows.
  • Highlighting the need for large-scale, multi-center validation to ensure clinical utility.

Abstract

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.

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Cite This Study

Rattanapitoon et al. (2026) studied this question.

synapsesocial.com/papers/69746187bb9d90c67120b669https://doi.org/10.31557/apjcp.2026.27.1.5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation2026 · 5 citations
  2. 2Artificial intelligence and radiomics on computed tomography for differentiating hepatocellular carcinoma and intrahepatic cholangiocarcinoma: a multimodal integration approach2026
  3. 3Artificial Intelligence and Machine Learning in Hepatocellular Carcinoma Screening, Diagnosis and Treatment - A Comprehensive Systematic Review2024 · 10 citations
  4. 4Artificial Intelligence in the Diagnosis and Prognostic Stratification of Hepatocellular Carcinoma: Current Evidence, Clinical Applications, and Future Perspectives2026 · 1 citations
  5. 5Liver cancer detection using Artificial Intelligence2024 · 1 citations