Artificial Intelligence Enhances Risk Prediction for Postoperative Complications After Tongue Cancer Surgery

Highlight

• Development of PRO-TONGUE, an AI-based risk prediction tool for individualized 30-day postoperative complication risk after tongue cancer surgery.
• Use of advanced machine learning techniques, including XGBoost and LightGBM, to enhance accuracy across multiple complication outcomes.
• Performance of ML models comparable or superior to the ACS-NSQIP risk calculator, especially for bleeding requiring transfusion prediction.
• PRO-TONGUE offers interpretable, outcome-specific risk estimates to assist preoperative planning and shared decision-making.

Study Background