整合炎症、营养和人工智能：结直肠癌预后评分的新时代。

IF 5.4 3区医学 Q1 GASTROENTEROLOGY & HEPATOLOGY

World Journal of Gastroenterology Pub Date : 2025-08-14 DOI:10.3748/wjg.v31.i30.108431

Semra Demirli Atici, Aras Emre Canda, Mustafa Cem Terzi

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引用次数: 0

摘要

传统的肿瘤-淋巴结-转移分期忽略了关键的预后因素，如炎症和营养，限制了结直肠癌的个体化治疗。将生化标志物与人工智能相结合，可以通过分析复杂的多模态数据，显著提高生存预测和治疗个性化。这种不断发展的方法具有精确肿瘤学的变革潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Integrating inflammation, nutrition, and artificial intelligence: A new era in colorectal cancer prognostic scoring.

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.

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来源期刊

World Journal of Gastroenterology 医学-胃肠肝病学

CiteScore

7.80

自引率

4.70%

发文量

464

审稿时长

2.4 months

期刊介绍： The primary aims of the WJG are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in gastroenterology and hepatology.