Letter to the Editor: Artificial intelligence in hepatology - when deep learning meets drug-induced liver injury

Figure 1 Deep learning-enhanced diagnostic paradigm for drug-induced liver injury. A: Traditional diagnosis; B: Deep learning applied to computed tomography (CT); C: Clinical value (diagnostic performance); D: Future integration and broader impact. Traditional diagnosis of drug-induced liver injury (DILI), exemplified by pyrrolizidine alkaloid-induced hepatic sinusoidal obstruction syndrome (PA-HSOS). Deep learning-based analysis of CT enables automated liver segmentation, anatomically informed region-of-interest (ROI) sampling, and extraction of subtle diffuse parenchymal features. AI: Artificial intelligence; AUC: Area under the curve; CNN: Convolutional neural network.