将人工智能 (AI) 整合到结直肠癌报告中
Konstantin Bräutigam1, Ann-Marie Baker1, Viktor H Koelzer2,3
1Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
The Journal of pathology
|January 27, 2026
概括
人工智能 (AI) 和深度学习 (DL) 正在彻底改变结直肠癌 (CRC) 研究. 人工智能工具可以标准化病理学报告并识别新的预后生物标志物,改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 数字病理学数字病理学
- 人工智能的人工智能
背景情况:
- 结肠直肠癌 (CRC) 是全球癌症死亡的主要原因.
- 组织病理学对于CRC诊断和预后至关重要,但报告的变化仍然存在.
- 人工智能 (AI) 和深度学习 (DL) 为标准化CRC病理学和发现新的生物标志物提供了潜在的解决方案.
研究的目的:
- 审查近期人工智能辅助标准化CRC病理报告的进展.
- 在CRC中探索AI驱动的新型预后生物标志物的识别.
- 为改进CRC风险评估提出协调方法.
主要方法:
- 在CRC基因病理学中对AI和DL的最新研究的综述.
- 对AI应用程序的分析,用于从整个幻灯片图像中提取特征.
- 对基于人工智能的生物标志物的评估,用于CRC的预后预测.
主要成果:
- 人工智能工具可以加强对CRC的组织病理学报告的标准化.
- 应用于病理幻灯片的DL模型可以超过传统的预后指标.
- 新的预后参数,包括瘤脂肪细胞相互作用和免疫细胞模式,都被人工智能识别出来.
结论:
- 人工智能对完善CRC病理报告和风险分层具有重大前景.
- 既定病理特征和人工智能衍生指标的组合可以改善患者的治疗结果.
- 需要进一步标准化和协调人工智能方法,以实现广泛的临床采用.
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