Preoperative prediction of perineural invasion in intrahepatic cholangiocarcinoma with interpretable machine learning based on MRI

Key Points

• Machine learning accurately predicts perineural invasion before surgery.
• The model achieves high interpretability, allowing clinicians to understand the output.
• MRI serves as the imaging modality enhancing prediction accuracy.
• This study implies that preoperative insights may significantly shape treatment strategies.