Artificial intelligence and personalised medicine in liver cancer.

AI-driven multimodal models improve prediction of recurrence and survival in liver cancer, surpassing single-modality approaches in accuracy.

• Why it matters: Liver cancer management is hampered by the complexity of disease factors and limited predictive tools, hindering personalized treatment decisions and outcomes.
• What they did: The study reviews AI methods applied to diverse data types—imaging, pathology, and clinical records—highlighting their potential to enhance prognostic accuracy and treatment planning.
• The result: Implementing AI-based decision-support could significantly refine diagnosis and therapy, but overcoming validation, interpretability, and integration challenges is crucial for clinical adoption.