fig1

Figure 1. MDT discussion and decision-making for HCC. Figure 1 illustrates how AI serves as the core engine for an integrated MDTB. The central panel represents an AI-driven decision support dashboard that integrates multimodal data (patient history, serological indicators, pathology, and radiology). AI models, such as CNNs for image analysis and RNNs for longitudinal data, process this information. The outputs, including quantitative predictions (e.g., survival probability calculated by XGBoost or Kaplan-Meier estimators) and treatment simulations, are presented to the MDT [including Hepatobiliary Surgery, Oncology, Radiology, TCM Department, etc.] to facilitate a unified, evidence-based, and personalized treatment plan. The illustration was created using Adobe Illustrator (version 2024). MDT: Multidisciplinary team; HCC: hepatocellular carcinoma; AI: artificial intelligence; MDTB: multidisciplinary tumor board; CNNs: convolutional neural networks; RNNs: recurrent neural networks; XGBoost: extreme gradient boosting; TCM: traditional Chinese medicine; MRI: magnetic resonance imaging.