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
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.