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Editorial
. 2025 Apr;45(4):e16153.
doi: 10.1111/liv.16153.

AI-Based Prognostic Stratification in HCC, Towards a Personalised Treatment Approach

Affiliations
Editorial

AI-Based Prognostic Stratification in HCC, Towards a Personalised Treatment Approach

Olivier Sutter et al. Liver Int. 2025 Apr.
No abstract available

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References

    1. M. Reig, A. Forner, J. Rimola, et al., “BCLC Strategy for Prognosis Prediction and Treatment Recommendation: The 2022 Update,” Journal of Hepatology 76, no. 3 (2022): 681–693.
    1. C. Boros, O. Sutter, F. Cauchy, et al., “Upfront Multi‐Bipolar Radiofrequency Ablation for HCC in Transplant‐Eligible Cirrhotic Patients With Salvage Transplantation in Case of Recurrence,” Liver International 44 (2024): 1464–1473.
    1. X. Zhang, Y. Liu, W. Chen, et al., “ViT‐Based Quantification of Intratumoral Heterogeneity for Predicting Early Recurrence in HCC Following Multiple Ablation,” Liver International (2024) (forthcoming).
    1. Q. Pan, A. Houssou Hounye, K. Miao, et al., “Explainable Machine Learning Model Identified Potential Biomarkers in Liver Cancer Survival Prediction,” Biomedical Signal Processing and Control 96 (2024): 106504.
    1. J. Dana and O. Sutter, “Prognostic Stratification in Early‐Stage Hepatocellular Carcinoma: Imaging Biomarkers Are Needed,” Liver International 44, no. 4 (2024): 881–883.

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