Machine learning enhances colon cancer survival predictions.

Advances in colon cancer prognostics reveal that integrating machine learning with traditional TNM staging significantly improves survival predictions. In a study of over 382,000 diagnosed cases, models utilizing additional clinical variables demonstrated enhanced accuracy, with a 4-year Brier score drop from 0.19 to 0.14, and a Harrell concordance index increase from 0.73 to 0.83. These findings indicate that machine learning can refine individualized patient outcomes far beyond existing staging methods.