Traditional tumor-node-metastasis staging overlooks key prognostic factors such as inflammation and nutrition, limiting individualized treatment in colorectal cancer. Integrating biochemical markers with artificial intelligence can significantly improve survival prediction and treatment personalization by analyzing complex, multimodal data. This evolving approach holds transformative potential for precision oncology.