晚期胃癌中的人工智能:精确瘤学应用的全面审查
Min Fu1, Jialing Xu1, Yingying Lv1
1Department of Medical Oncology, The First People's Hospital of Xiaoshan District, Hangzhou, China.
Frontiers in oncology
|September 4, 2025
概括
人工智能 (AI) 通过分析复杂的患者数据来改善诊断,预后和预测治疗反应来增强晚期胃癌 (GC) 治疗. 多模式人工智能是有前途的,但数据和验证方面的挑战需要解决,以获得个性化护理.
科学领域:
- 癌症学
- 医疗信息学
- 人工智能
背景情况:
- 晚期胃癌 (GC) 预后不佳,治疗反应不均.
- 目前用于高精度瘤学的生物标志物存在局限性.
- 人工智能为分析GC中的复杂多维数据提供了先进的工具.
研究的目的:
- 审查人工智能 (AI) 在不可切除的晚期胃癌中的当前应用.
- 探索人工智能在诊断,分期,治疗疗效预测和预后评估方面的潜力.
- 突出多式人工智能方法在先进的GC管理中的好处.
主要方法:
- 关于人工智能在晚期胃癌中的应用现有文献的综述.
- 使用临床,基因组,放射和病理数据的AI模型分析.
- 综合关于单模式与多模式人工智能性能的发现.
主要成果:
- 人工智能模型在完善诊断,分期和预测治疗疗效 (化疗,免疫疗法,向疗法) 中显示出显著的潜力.
- 综合多种数据源的多式人工智能方法显示出卓越的预测性能.
- 人工智能有助于评估晚期GC患者的预后.
结论:
- 人工智能,特别是多模式方法,对高级胃癌的个性化管理有很大的希望.
- 主要挑战包括数据质量,标准化,模型通用性,可解释性和前性验证.
- 未来的方向包括多中心协作,可解释的人工智能 (XAI) 和临床工作流集成,以改善患者的结果.
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