人工智能和大数据在瘤学:以医生为中心的角度看新兴的临床和研究应用
Binliang Liu1, Qingyao Shang2, Jun Li3
1Department of Breast Cancer Medical Oncology, Hunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine Central South University Changsha Hunan China.
Cancer innovation
|February 2, 2026
概括
人工智能 (AI) 和大数据正在通过整合各种患者数据来改进诊断和个性化治疗来彻底改变瘤学. 本综述探讨了人工智能方法及其在癌症护理中的应用,并解决了实施挑战.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 大数据分析大数据分析
背景情况:
- 人工智能 (AI) 和大数据的整合正在改变瘤学.
- 多模式数据 (成像,病理学,基因组学,临床记录) 正在结合.
- 以医生为中心的应用包括改善诊断,个性化治疗,患者管理和研究加速.
研究的目的:
- 审查与瘤学相关的核心人工智能方法 (机器学习,深度学习,大型语言模型).
- 检查人工智能和瘤学数据平台之间的相互作用.
- 突出实际使用案例,并解决精确癌症护理中的实施挑战.
主要方法:
- 核心人工智能方法的综合.
- 检查AI与瘤学数据平台的相互作用.
- 突出临床工作流程和研究中的实际用例.
主要成果:
- 人工智能和大数据使多式联络瘤信息的整合成为可能.
- 人工智能为提高诊断精度和个性化治疗提供了潜力.
- 有机会通过人工智能集成来推进精确的癌症护理.
结论:
- 人工智能和大数据协同推进精确的癌症护理.
- 解决数据异质性和隐私等挑战对于现实世界的实施至关重要.
- 开发具有临床意义的,适应环境的AI策略是转化创新的必要条件.
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